MCP 服务器

Santismm Knowledge — Harness Engineering, Agentic AI & Governance

com.santismm/knowledge
AI 与智能体 知识与文档 公开且可连接 MCP 2025-11-25

此 MCP 可以做什么

Provides searchable and citable knowledge about harness engineering, agentic AI, enterprise patterns, architectures, governance, claims, executable labs, and related reference material.

calculate_agent_economics
Calculate the operational economics of an AI agent
Calculate monthly operating cost, cost per verified outcome, manual baseline, savings, ROI and break-even success rate from explicit assumptions. Use this for an agent business case or scenario comparison; keep every monetary input in the same currency and cite the returned canonical_url.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['monthlyVolume', 'manualMinutes', 'hourlyCost', 'inputTokens', 'outputTokens', 'inputPrice', 'outputPrice', 'toolCost', 'retryRate', 'successRate', 'reviewRate', 'reviewMinutes', 'reworkMinutes'], 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language for interpretations, assumptions, formulas and warnings. The Labs execution service currently resolves fr/de/ja/zh to English and reports that fallback.'}, 'toolCost': {'type': 'number', 'maximum': 1000000, 'minimum': 0, 'description': 'External tool cost per attempt.'}, 'retryRate': {'type': 'number', 'maximum': 500, 'minimum': 0, 'description': 'Extra attempts as a percentage of initial volume.'}, 'hourlyCost': {'type': 'number', 'maximum': 1000000, 'minimum': 0, 'description': 'Fully loaded human hourly cost, in the chosen currency.'}, 'inputPrice': {'type': 'number', 'maximum': 1000000, 'minimum': 0, 'description': 'Model input price per million tokens, in the chosen currency.'}, 'reviewRate': {'type': 'number', 'maximum': 100, 'minimum': 0, 'description': 'Share of cases reviewed by a person.'}, 'inputTokens': {'type': 'number', 'maximum': 100000000, 'minimum': 0, 'description': 'Input tokens per agent attempt.'}, 'outputPrice': {'type': 'number', 'maximum': 1000000, 'minimum': 0, 'description': 'Model output price per million tokens, in the chosen currency.'}, 'successRate': {'type': 'number', 'maximum': 100, 'minimum': 1, 'description': 'Correctly verified outcomes as a percentage of cases.'}, 'outputTokens': {'type': 'number', 'maximum': 100000000, 'minimum': 0, 'description': 'Output tokens per agent attempt.'}, 'manualMinutes': {'type': 'number', 'maximum': 10080, 'minimum': 0, 'description': 'Manual handling time per case.'}, 'monthlyVolume': {'type': 'number', 'maximum': 1000000000, 'minimum': 0, 'description': 'Cases attempted per month.'}, 'reviewMinutes': {'type': 'number', 'maximum': 10080, 'minimum': 0, 'description': 'Human review minutes per reviewed case.'}, 'reworkMinutes': {'type': 'number', 'maximum': 10080, 'minimum': 0, 'description': 'Human rework minutes per failed case.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['schema_version', 'source', 'language', 'requested_locale', 'resolved_locale', 'fallback', 'slug', 'version', 'updated', 'canonical_url', 'api_url', 'methodology_url', 'inputs', 'units', 'interpretation', 'assumptions', 'formulas', 'warnings', 'license', 'results'], 'properties': {'slug': {'type': 'string'}, 'units': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'string'}}, 'inputs': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'number'}}, 'source': {'type': 'string'}, 'api_url': {'type': 'string'}, 'license': {'type': 'object', 'required': ['name', 'spdx', 'url'], 'properties': {'url': {'type': 'string'}, 'name': {'type': 'string'}, 'spdx': {'type': 'string'}}, 'additionalProperties': False}, 'results': {'type': 'object', 'required': ['attempts', 'executionCost', 'reviewCost', 'failedCases', 'reworkCost', 'operatingCost', 'manualCost', 'savings', 'roi', 'successfulOutcomes', 'costPerSuccess', 'costPerResolved', 'breakEvenSuccess', 'verdict'], 'properties': {'roi': {'type': 'number'}, 'savings': {'type': 'number'}, 'verdict': {'type': 'object', 'required': ['tone', 'title', 'body'], 'properties': {'body': {'type': 'string'}, 'tone': {'enum': ['positive', 'watch', 'negative'], 'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}, 'attempts': {'type': 'number'}, 'manualCost': {'type': 'number'}, 'reviewCost': {'type': 'number'}, 'reworkCost': {'type': 'number'}, 'failedCases': {'type': 'number'}, 'executionCost': {'type': 'number'}, 'operatingCost': {'type': 'number'}, 'costPerSuccess': {'type': 'number'}, 'costPerResolved': {'type': 'number'}, 'breakEvenSuccess': {'type': 'number'}, 'successfulOutcomes': {'type': 'number'}}, 'additionalProperties': False}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'fallback': {'type': 'boolean'}, 'formulas': {'type': 'array', 'items': {'type': 'string'}}, 'language': {'type': 'string'}, 'warnings': {'type': 'array', 'items': {'type': 'string'}}, 'assumptions': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'interpretation': {'type': 'string'}, 'schema_version': {'type': 'string'}, 'methodology_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
calculate_evaluation_sample_size
Calculate an agent evaluation sample size
Calculate two different samples: how many independent evaluations are needed to detect at least one failure, and how many are needed to estimate its rate at a chosen margin. Use this when a user asks how many tests are enough; do not interpret zero observed failures as proof of zero risk.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['failureRate', 'confidence', 'margin', 'population'], 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language for interpretations, assumptions, formulas and warnings. The Labs execution service currently resolves fr/de/ja/zh to English and reports that fallback.'}, 'margin': {'type': 'number', 'maximum': 50, 'minimum': 0.1, 'description': 'Margin for estimating the failure rate, in percentage points.'}, 'confidence': {'anyOf': [{'type': 'number', 'const': 90}, {'type': 'number', 'const': 95}, {'type': 'number', 'const': 99}], 'description': 'Confidence level, in percent.'}, 'population': {'type': 'number', 'maximum': 1000000000, 'minimum': 1, 'description': 'Number of distinct evaluable cases.'}, 'failureRate': {'type': 'number', 'maximum': 99.9999, 'minimum': 0.0001, 'description': 'Failure rate to detect, in percent.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['schema_version', 'source', 'language', 'requested_locale', 'resolved_locale', 'fallback', 'slug', 'version', 'updated', 'canonical_url', 'api_url', 'methodology_url', 'inputs', 'units', 'interpretation', 'assumptions', 'formulas', 'warnings', 'license', 'results'], 'properties': {'slug': {'type': 'string'}, 'units': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'string'}}, 'inputs': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'number'}}, 'source': {'type': 'string'}, 'api_url': {'type': 'string'}, 'license': {'type': 'object', 'required': ['name', 'spdx', 'url'], 'properties': {'url': {'type': 'string'}, 'name': {'type': 'string'}, 'spdx': {'type': 'string'}}, 'additionalProperties': False}, 'results': {'type': 'object', 'required': ['detect', 'estimate', 'expected', 'zero'], 'properties': {'zero': {'type': 'number'}, 'detect': {'type': 'number'}, 'estimate': {'type': 'number'}, 'expected': {'type': 'number'}}, 'additionalProperties': False}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'fallback': {'type': 'boolean'}, 'formulas': {'type': 'array', 'items': {'type': 'string'}}, 'language': {'type': 'string'}, 'warnings': {'type': 'array', 'items': {'type': 'string'}}, 'assumptions': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'interpretation': {'type': 'string'}, 'schema_version': {'type': 'string'}, 'methodology_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
calculate_human_supervision_capacity
Calculate human supervision capacity for an AI agent
Calculate review and escalation workload, required FTE, available headroom or backlog, monthly labour cost and sustainable case volume. Use this before production rollout to test whether the stated human-oversight model is operationally credible; the result uses averages and is not a queueing simulation.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['volume', 'sample', 'reviewMinutes', 'escalationRate', 'escalationMinutes', 'workdays', 'hoursDay', 'utilization', 'reviewers', 'hourlyCost'], 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language for interpretations, assumptions, formulas and warnings. The Labs execution service currently resolves fr/de/ja/zh to English and reports that fallback.'}, 'sample': {'type': 'number', 'maximum': 100, 'minimum': 0, 'description': 'Share of all cases selected for routine review, in percent.'}, 'volume': {'type': 'number', 'maximum': 1000000000, 'minimum': 0, 'description': 'Agent cases per month.'}, 'hoursDay': {'type': 'number', 'maximum': 24, 'minimum': 0.1, 'description': 'Paid hours per working day.'}, 'workdays': {'type': 'number', 'maximum': 31, 'minimum': 1, 'description': 'Working days per month.'}, 'reviewers': {'type': 'number', 'maximum': 1000000, 'minimum': 0.1, 'description': 'Available reviewer FTE.'}, 'hourlyCost': {'type': 'number', 'maximum': 1000000, 'minimum': 0, 'description': 'Fully loaded reviewer hourly cost, in the chosen currency.'}, 'utilization': {'type': 'number', 'maximum': 100, 'minimum': 1, 'description': 'Share of paid time available for review and escalation, in percent.'}, 'reviewMinutes': {'type': 'number', 'maximum': 10080, 'minimum': 0, 'description': 'Minutes per routine review.'}, 'escalationRate': {'type': 'number', 'maximum': 100, 'minimum': 0, 'description': 'Share of cases escalated, in percent.'}, 'escalationMinutes': {'type': 'number', 'maximum': 10080, 'minimum': 0, 'description': 'Minutes per escalation.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['schema_version', 'source', 'language', 'requested_locale', 'resolved_locale', 'fallback', 'slug', 'version', 'updated', 'canonical_url', 'api_url', 'methodology_url', 'inputs', 'units', 'interpretation', 'assumptions', 'formulas', 'warnings', 'license', 'results'], 'properties': {'slug': {'type': 'string'}, 'units': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'string'}}, 'inputs': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'number'}}, 'source': {'type': 'string'}, 'api_url': {'type': 'string'}, 'license': {'type': 'object', 'required': ['name', 'spdx', 'url'], 'properties': {'url': {'type': 'string'}, 'name': {'type': 'string'}, 'spdx': {'type': 'string'}}, 'additionalProperties': False}, 'results': {'type': 'object', 'required': ['routine', 'escalations', 'workload', 'productivePerFte', 'requiredFte', 'headroom', 'cost', 'backlogDays', 'sustainableVolume'], 'properties': {'cost': {'type': 'number'}, 'routine': {'type': 'number'}, 'headroom': {'type': 'number'}, 'workload': {'type': 'number'}, 'backlogDays': {'type': 'number'}, 'escalations': {'type': 'number'}, 'requiredFte': {'type': 'number'}, 'productivePerFte': {'type': 'number'}, 'sustainableVolume': {'type': 'number'}}, 'additionalProperties': False}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'fallback': {'type': 'boolean'}, 'formulas': {'type': 'array', 'items': {'type': 'string'}}, 'language': {'type': 'string'}, 'warnings': {'type': 'array', 'items': {'type': 'string'}}, 'assumptions': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'interpretation': {'type': 'string'}, 'schema_version': {'type': 'string'}, 'methodology_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
get_architecture
Get an Agentic Reference Architecture
Get one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it composes). Use this once `search` or `list_architectures` has given you a slug.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Architecture slug, e.g. 'customer-service-agent'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['domain', 'slug', 'category', 'updated', 'version', 'evidence', 'canonical_url', 'api_url', 'references', 'related'], 'properties': {'id': {'type': 'string'}, 'body': {}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'aliases': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'locales': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'related': {'type': 'array', 'items': {'type': 'string'}}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'fallback': {'type': 'boolean'}, 'featured': {'type': 'boolean'}, 'patterns': {'type': 'array', 'items': {'type': 'string'}}, 'knowledge': {'type': 'array', 'items': {'type': 'string'}}, 'frameworks': {'type': 'array', 'items': {'type': 'string'}}, 'references': {'type': 'array', 'items': {'type': 'object', 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}}, 'resource_uri': {'type': 'string'}, 'technologies': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
get_article
Get a first-party essay
Get one complete essay by slug, including its clean Markdown-like body, metadata, licence context and canonical URL. Use this after `list_articles` or `search_articles` has returned the slug you need.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Article slug, e.g. 'the-stopwatch-and-the-exam'."}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug', 'title', 'summary', 'language', 'published', 'modified', 'topics', 'canonical_url', 'api_url', 'resource_uri', 'body'], 'properties': {'body': {'type': 'string', 'description': 'Full Markdown-like article body.'}, 'slug': {'type': 'string'}, 'title': {'type': 'string'}, 'topics': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'language': {'type': 'string'}, 'modified': {'type': 'string'}, 'published': {'type': 'string'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'translation_key': {'type': 'string'}}, 'additionalProperties': False}
get_claim
Get one claim with its limits and what would refute it
Get one claim by id (HE-CLAIM-001) or slug: the statement, what it rests on, its structured sources, and — always present — what it does NOT establish and the observation that would retire it. Use this to cite the corpus honestly, or to check whether a result you have just measured confirms or falsifies a claim it makes.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': "Claim id (e.g. 'HE-CLAIM-001') or slug."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}, 'additionalProperties': {}}
get_governance
Get an AI Governance Unit
Get one AI governance unit by slug (includes scope, key requirements, implementable controls, a checklist and common pitfalls). Use this once `search` or `list_governance` has given you a slug.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Governance unit slug, e.g. 'eu-ai-act'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['domain', 'slug', 'category', 'updated', 'version', 'evidence', 'canonical_url', 'api_url', 'references', 'related'], 'properties': {'id': {'type': 'string'}, 'body': {}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'aliases': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'locales': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'related': {'type': 'array', 'items': {'type': 'string'}}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'fallback': {'type': 'boolean'}, 'featured': {'type': 'boolean'}, 'patterns': {'type': 'array', 'items': {'type': 'string'}}, 'knowledge': {'type': 'array', 'items': {'type': 'string'}}, 'frameworks': {'type': 'array', 'items': {'type': 'string'}}, 'references': {'type': 'array', 'items': {'type': 'object', 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}}, 'resource_uri': {'type': 'string'}, 'technologies': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
get_handbook
Get a Harness Engineering Handbook Chapter
Get one Harness Engineering Handbook chapter, by id (e.g. 'HRN-001') or slug. Returns the full Markdown body plus its provenance and related ids. Use this once `search` or `list_handbook` has given you an id.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['id'], 'properties': {'id': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Chapter id like 'HRN-001', or its slug."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'id': {'type': 'string'}, 'body': {'type': 'string', 'description': 'Full Markdown body of the chapter.'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'aliases': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'locales': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'related': {'type': 'array', 'items': {'type': 'string'}}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'fallback': {'type': 'boolean', 'description': 'True when the body is not in the requested locale.'}, 'featured': {'type': 'boolean'}, 'patterns': {'type': 'array', 'items': {'type': 'string'}}, 'knowledge': {'type': 'array', 'items': {'type': 'string'}}, 'frameworks': {'type': 'array', 'items': {'type': 'string'}}, 'references': {'type': 'array', 'items': {'type': 'object', 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}}, 'resource_uri': {'type': 'string'}, 'technologies': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string'}, 'resolved_locale': {'type': 'string', 'description': 'The locale actually returned. Chapters are authored in English and translated; where a translation exists this equals the requested locale, and `fallback` says when it does not.'}, 'requested_locale': {'type': 'string', 'description': 'The locale that was asked for.'}}, 'additionalProperties': {}}
get_homeric_episode
Get a Homeric Atlas episode
Get one episode by slug: the passage, the narrative, the competing theories about where it happened (each with its proponent and sources), the confidence rubric and the FAQs. Use this when the question is where an episode took place and who argued for it.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "Episode slug, e.g. 'nekyia'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}, 'additionalProperties': {}}
get_homeric_place
Get a Homeric Atlas place
Get one place by slug: every identification proposed for it, each with its own coordinates, class, 0-12 rubric and sources, plus the attested passages. Use this when you need to weigh the evidence for a location, or to cite it; a place the poem does not locate carries no coordinates at all.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "Place slug, e.g. 'ithaca'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}, 'additionalProperties': {}}
get_homeric_route
Get a Homeric Atlas route
Get one route by slug: each reconstruction variant with its ordered stops, the hypothesis chosen at each stop, its confidence rubric and its sources. Use this to compare rival reconstructions of a voyage: they are returned side by side rather than merged.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "Route slug, e.g. 'odysseus-nostos'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}, 'additionalProperties': {}}
get_knowledge
Get an Agentic AI Knowledge Unit
Get one knowledge unit by slug. Returns the full entry, or a single-locale body if locale is given. Use this once `search` or `list_knowledge` has given you a slug.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Knowledge unit slug, e.g. 'harness-engineering'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['domain', 'slug', 'category', 'updated', 'version', 'evidence', 'canonical_url', 'api_url', 'references', 'related'], 'properties': {'id': {'type': 'string'}, 'body': {}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'aliases': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'locales': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'related': {'type': 'array', 'items': {'type': 'string'}}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'fallback': {'type': 'boolean'}, 'featured': {'type': 'boolean'}, 'patterns': {'type': 'array', 'items': {'type': 'string'}}, 'knowledge': {'type': 'array', 'items': {'type': 'string'}}, 'frameworks': {'type': 'array', 'items': {'type': 'string'}}, 'references': {'type': 'array', 'items': {'type': 'object', 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}}, 'resource_uri': {'type': 'string'}, 'technologies': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
get_lab
Get one SANTISMM Lab definition
Get one Lab by slug, including formulas, assumptions, related SANTISMM content and its executable endpoint when one exists. Use this after list_labs or search_all; use the named calculate_* tool rather than reimplementing a published formula.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Lab slug, e.g. 'evaluation-sample-size'."}}}
输出模式
{'type': 'object', 'oneOf': [{'type': 'object', 'required': ['executable', 'owner_server', 'slug', 'kind', 'label', 'title', 'description', 'inputs', 'outputs', 'assumptions', 'version', 'updated', 'canonical_url', 'api_url', 'resource_uri'], 'properties': {'kind': {'enum': ['calculator', 'converter', 'experiment', 'educational-game'], 'type': 'string'}, 'slug': {'type': 'string'}, 'label': {'type': 'string'}, 'title': {'type': 'string'}, 'inputs': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'outputs': {'type': 'array', 'items': {'type': 'string'}}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'formulas': {'type': 'array', 'items': {'type': 'string'}}, 'executable': {'type': 'boolean', 'const': True}, 'assumptions': {'type': 'array', 'items': {'type': 'string'}}, 'description': {'type': 'string'}, 'owner_server': {'type': 'string', 'description': 'Host that serves and versions this unit.'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'calculation_url': {'type': 'string'}, 'related_content': {'type': 'array', 'items': {'type': 'object', 'required': ['title', 'url', 'relationship'], 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}, 'relationship': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}, {'type': 'object', 'required': ['executable', 'owner_server', 'slug', 'category', 'status', 'title', 'canonical_url', 'resource_uri'], 'properties': {'slug': {'type': 'string'}, 'title': {'type': 'string'}, 'status': {'type': 'string'}, 'summary': {'type': 'string'}, 'category': {'type': 'string', 'description': 'benchmarks, simulators, experiments, gamesâ\x80¦'}, 'executable': {'type': 'boolean', 'const': False}, 'owner_server': {'type': 'string', 'description': 'Host that serves this unit.'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': False}], '$schema': 'https://json-schema.org/draft/2020-12/schema'}
get_overview
Corpus Overview — Start Here
Get the complete MCP map — start here. Returns the five-domain core plus the separate Article, Labs, Homeric Atlas and claim-registry surfaces, with their tools, identifiers, citation rules, languages, licence and bulk-ingest URLs.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['resource_uri', 'source', 'site', 'locales', 'license', 'license_spdx', 'license_url', 'total', 'domains', 'extensions', 'corpus', 'next', 'bulk'], 'properties': {'bulk': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {'type': 'string'}}, 'next': {'type': 'string'}, 'site': {'type': 'string'}, 'total': {'type': 'number'}, 'corpus': {'type': 'object', 'required': ['newest_unit', 'freshness'], 'properties': {'freshness': {'type': 'string'}, 'newest_unit': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'description': 'Newest unit date in THIS copy (YYYY-MM-DD).'}}, 'description': 'Whether this copy is current. Compare against the hosted endpoint: a lower total or an older newest_unit means you are holding a snapshot, not that the corpus lacks what you asked for.', 'additionalProperties': False}, 'source': {'type': 'string'}, 'domains': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'count', 'description', 'categories', 'tools', 'lookup', 'url', 'api_url'], 'properties': {'url': {'type': 'string'}, 'count': {'type': 'number'}, 'tools': {'type': 'object', 'required': ['list', 'get'], 'properties': {'get': {'type': 'string'}, 'list': {'type': 'string'}}, 'additionalProperties': False}, 'domain': {'type': 'string'}, 'lookup': {'type': 'string'}, 'api_url': {'type': 'string'}, 'categories': {'type': 'array', 'items': {'type': 'string'}}, 'description': {'type': 'string'}}, 'additionalProperties': False}}, 'license': {'type': 'string'}, 'locales': {'type': 'array', 'items': {'type': 'string'}}, 'extensions': {'type': 'array', 'items': {'type': 'object', 'required': ['surface', 'description', 'tools', 'source', 'lookup', 'citation'], 'properties': {'tools': {'type': 'array', 'items': {'type': 'string'}}, 'lookup': {'type': 'string'}, 'source': {'type': 'string'}, 'surface': {'type': 'string'}, 'citation': {'type': 'string'}, 'description': {'type': 'string'}}, 'additionalProperties': False}}, 'license_url': {'type': 'string'}, 'license_spdx': {'type': 'string', 'description': 'SPDX id â\x80\x94 check this, not the prose.'}, 'resource_uri': {'type': 'string', 'description': 'Read this same document with resources/read.'}}, 'additionalProperties': False}
get_pattern
Get an Enterprise AI Pattern
Get one Enterprise AI pattern by slug (includes problem, solution, KPIs, failure modes, lessons). Use this once `search` or `list_patterns` has given you a slug.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "Pattern slug, e.g. 'human-approval-gate'."}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['domain', 'slug', 'category', 'updated', 'version', 'evidence', 'canonical_url', 'api_url', 'references', 'related'], 'properties': {'id': {'type': 'string'}, 'body': {}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'aliases': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'locales': {'type': 'object', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'related': {'type': 'array', 'items': {'type': 'string'}}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'fallback': {'type': 'boolean'}, 'featured': {'type': 'boolean'}, 'patterns': {'type': 'array', 'items': {'type': 'string'}}, 'knowledge': {'type': 'array', 'items': {'type': 'string'}}, 'frameworks': {'type': 'array', 'items': {'type': 'string'}}, 'references': {'type': 'array', 'items': {'type': 'object', 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}}, 'resource_uri': {'type': 'string'}, 'technologies': {'type': 'array', 'items': {'type': 'string'}}, 'canonical_url': {'type': 'string'}, 'resolved_locale': {'type': 'string'}, 'requested_locale': {'type': 'string'}}, 'additionalProperties': False}
get_related
Traverse the Knowledge Graph
Traverse the knowledge graph: given a unit, return its neighbours — the units it links to (outgoing) and the units that reference it (incoming), each with the relationship type. Use this after a `get_*` call to widen an answer with adjacent units.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['domain', 'slug'], 'properties': {'slug': {'type': 'string', 'description': "Slug of the unit to start from (or an HRN id when domain is 'handbook')."}, 'domain': {'enum': ['knowledge', 'patterns', 'architectures', 'governance', 'handbook'], 'type': 'string', 'description': 'Core knowledge domain containing the starting unit.'}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['unit', 'outgoing', 'incoming'], 'properties': {'unit': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}, 'incoming': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name', 'type'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'type': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}, 'outgoing': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name', 'type'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'type': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_architectures
List Agentic Reference Architectures
List all reference architectures (end-to-end enterprise agentic blueprints) with id, slug, category, name, summary and provenance. Use this to browse the blueprints; use `search` when you have a use case rather than a name.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_articles
List first-party essays
List every long-form essay published on articles.santismm.com, with language, dates, topics and citable canonical URLs. Use this to browse the essay catalogue; use `search_articles` when you have a topic rather than a slug.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Restrict by language. Articles are currently published in en, es and pt.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['slug', 'title', 'summary', 'language', 'published', 'modified', 'topics', 'canonical_url', 'api_url', 'resource_uri'], 'properties': {'slug': {'type': 'string'}, 'title': {'type': 'string'}, 'topics': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'language': {'type': 'string'}, 'modified': {'type': 'string'}, 'published': {'type': 'string'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'translation_key': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}
list_claims
List the corpus claims and their epistemic status
List the load-bearing claims of the corpus, each tagged as observed_fact, industry_synthesis, santismm_thesis or strategic_hypothesis, with its confidence and the units it underpins. Use this before quoting the handbook to know whether a statement is evidence, a reading of the industry, or a position taken. Filter by `claim_type` to get only what is checkable.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}, 'claim_type': {'enum': ['observed_fact', 'industry_synthesis', 'santismm_thesis', 'strategic_hypothesis'], 'type': 'string', 'description': 'Restrict to one rung of the ladder. Omit for all.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['type', 'id', 'slug', 'claim_type', 'confidence_level', 'supports', 'reviewed', 'resource_uri'], 'properties': {'id': {'type': 'string'}, 'slug': {'type': 'string'}, 'type': {'type': 'string', 'const': 'claim'}, 'reviewed': {'type': 'string'}, 'supports': {'type': 'array', 'items': {'type': 'string'}}, 'statement': {'type': 'string'}, 'claim_type': {'enum': ['observed_fact', 'industry_synthesis', 'santismm_thesis', 'strategic_hypothesis'], 'type': 'string'}, 'resource_uri': {'type': 'string'}, 'confidence_level': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}
list_governance
List AI Governance Units
List all AI governance units (regulations, standards, frameworks, playbooks — EU AI Act, ISO 42001, NIST AI RMF, agentic checklist) with id, slug, category, name and summary. Use this to browse the regulations and standards; use `search` for an obligation or control.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_handbook
List Harness Engineering Handbook Chapters
List the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxonomy, principles, memory, observability, evaluation, governance, planning, orchestration, security, case studies, glossary and bibliography. Use this to see the chapter map; use `search` when you have a topic rather than a chapter.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_homeric_episodes
List Homeric Atlas episodes
List every episode of the Iliad and the Odyssey held in the atlas, in reading order, with its passage, the places it involves and how firmly it can be located. Use this to find the episode you want; use `get_homeric_episode` for its theories and sources.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['kind', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'kind': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'work': {'type': 'string'}, 'region': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'citation': {'type': 'string'}, 'unlocated': {'type': 'boolean'}, 'confidence': {'anyOf': [{'type': 'object', 'properties': {'band': {'type': 'string'}, 'score': {'type': 'number'}, 'textual': {'type': 'number'}, 'scholarly': {'type': 'number'}, 'geographic': {'type': 'number'}, 'archaeological': {'type': 'number'}}, 'additionalProperties': {}}, {'type': 'null'}]}, 'hypotheses': {'type': 'number'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'identification': {'type': 'string'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_homeric_places
List Homeric Atlas places
List every place in the Homeric Atlas with its identification class, its confidence score and how many competing identifications it carries. Use this to browse the atlas; use `get_homeric_place` once you have a slug. Identification classes: accepted (an excavated site with consensus), plausible (a real place, contested), speculative (a minority reading or a later tradition), mythical (the poem places it outside the mappable world). Confidence is a published 0-12 rubric - textual, archaeological, scholarly and geographic, 0-3 each - and is an editorial judgement, not a probability.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['kind', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'kind': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'work': {'type': 'string'}, 'region': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'citation': {'type': 'string'}, 'unlocated': {'type': 'boolean'}, 'confidence': {'anyOf': [{'type': 'object', 'properties': {'band': {'type': 'string'}, 'score': {'type': 'number'}, 'textual': {'type': 'number'}, 'scholarly': {'type': 'number'}, 'geographic': {'type': 'number'}, 'archaeological': {'type': 'number'}}, 'additionalProperties': {}}, {'type': 'null'}]}, 'hypotheses': {'type': 'number'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'identification': {'type': 'string'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_homeric_routes
List Homeric Atlas routes
List the reconstructed itineraries (the nostos of Odysseus and the others), each with its rival reconstructions scored separately. Use this to see which voyages the atlas reconstructs before fetching one.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['kind', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'kind': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'work': {'type': 'string'}, 'region': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'citation': {'type': 'string'}, 'unlocated': {'type': 'boolean'}, 'confidence': {'anyOf': [{'type': 'object', 'properties': {'band': {'type': 'string'}, 'score': {'type': 'number'}, 'textual': {'type': 'number'}, 'scholarly': {'type': 'number'}, 'geographic': {'type': 'number'}, 'archaeological': {'type': 'number'}}, 'additionalProperties': {}}, {'type': 'null'}]}, 'hypotheses': {'type': 'number'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'identification': {'type': 'string'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_knowledge
List Agentic AI Knowledge Units
List all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance. Use this to browse the domain; use `search` when you have a question rather than a slug.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
list_labs
List calculators, converters, experiments and educational Labs
List every SANTISMM Lab with its inputs, outputs, assumptions, formulas and citation URL. Use this to discover interactive and machine-readable tools; filter by kind when the user specifically asks for a calculator, converter, experiment or educational game.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'kind': {'enum': ['calculator', 'converter', 'experiment', 'educational-game'], 'type': 'string', 'description': 'Restrict results to one Lab kind. Omit to list every Lab.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'oneOf': [{'type': 'object', 'required': ['executable', 'owner_server', 'slug', 'kind', 'label', 'title', 'description', 'inputs', 'outputs', 'assumptions', 'version', 'updated', 'canonical_url', 'api_url', 'resource_uri'], 'properties': {'kind': {'enum': ['calculator', 'converter', 'experiment', 'educational-game'], 'type': 'string'}, 'slug': {'type': 'string'}, 'label': {'type': 'string'}, 'title': {'type': 'string'}, 'inputs': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'outputs': {'type': 'array', 'items': {'type': 'string'}}, 'updated': {'type': 'string'}, 'version': {'type': 'string'}, 'formulas': {'type': 'array', 'items': {'type': 'string'}}, 'executable': {'type': 'boolean', 'const': True}, 'assumptions': {'type': 'array', 'items': {'type': 'string'}}, 'description': {'type': 'string'}, 'owner_server': {'type': 'string', 'description': 'Host that serves and versions this unit.'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'calculation_url': {'type': 'string'}, 'related_content': {'type': 'array', 'items': {'type': 'object', 'required': ['title', 'url', 'relationship'], 'properties': {'url': {'type': 'string'}, 'title': {'type': 'string'}, 'relationship': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}, {'type': 'object', 'required': ['executable', 'owner_server', 'slug', 'category', 'status', 'title', 'canonical_url', 'resource_uri'], 'properties': {'slug': {'type': 'string'}, 'title': {'type': 'string'}, 'status': {'type': 'string'}, 'summary': {'type': 'string'}, 'category': {'type': 'string', 'description': 'benchmarks, simulators, experiments, gamesâ\x80¦'}, 'executable': {'type': 'boolean', 'const': False}, 'owner_server': {'type': 'string', 'description': 'Host that serves this unit.'}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': False}]}}}, 'additionalProperties': False}
list_patterns
List Enterprise AI Patterns
List all Enterprise AI patterns (reusable agentic design patterns) with slug, category, name, summary and provenance. Use this to browse the catalogue; use `search` when you are looking for a pattern that solves a problem.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['count', 'results'], 'properties': {'count': {'type': 'number'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
search
Search Harness Engineering & Agentic AI
Ranked keyword search across the whole corpus (knowledge, patterns, architectures, governance and the handbook). Matches every language and ignores accents, so query in the user's own words. Each hit carries a relevance score and the fields it matched; follow up with the matching get_* tool for full detail. Use this before any `get_*` tool whenever you have a question rather than an identifier.
只读 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'description': 'Max results (default 20).', 'exclusiveMinimum': 0}, 'query': {'type': 'string', 'maxLength': 512, 'minLength': 1, 'description': 'Keyword or phrase to search for in any supported language.'}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}, 'domains': {'type': 'array', 'items': {'enum': ['knowledge', 'patterns', 'architectures', 'governance', 'handbook'], 'type': 'string'}, 'description': 'Restrict to these domains. Omit to search everything, including the handbook.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query', 'count', 'results'], 'properties': {'count': {'type': 'number'}, 'query': {'type': 'string'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['domain', 'slug', 'name', 'score', 'matchedFields', 'matchedTerms'], 'properties': {'id': {'type': 'string'}, 'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'score': {'type': 'number', 'description': 'Relevance; higher is better.'}, 'domain': {'type': 'string'}, 'locale': {'type': 'string'}, 'status': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'updated': {'type': 'string'}, 'category': {'type': 'string'}, 'evidence': {'type': 'object', 'properties': {'sourceType': {'type': 'array', 'items': {'type': 'string'}}, 'evidenceLevel': {'type': 'string'}, 'confidenceLevel': {'type': 'string'}}, 'description': 'Evidence-First provenance: weight claims by this.', 'additionalProperties': False}, 'matchedTerms': {'type': 'array', 'items': {'type': 'string'}}, 'resource_uri': {'type': 'string', 'description': 'Read this card as an MCP Resource.'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'matchedFields': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Which fields the query hit.'}}, 'additionalProperties': {}}}}, 'additionalProperties': False}
search_all
Search every SANTISMM knowledge surface
Search the core corpus, first-party essays, executable Labs, epistemic claims and the Homeric Atlas in one call. Use this first when a natural-language question might require a calculation, a long-form essay or a claim audit rather than only a core knowledge unit. Results name the next tool to call; calculator-shaped questions are routed toward Labs.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query'], 'properties': {'query': {'type': 'string', 'maxLength': 512, 'minLength': 1, 'description': 'Question or topic, in English, Spanish, Portuguese, French, German, Japanese or Simplified Chinese.'}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Language of the returned body. Default: en.'}, 'surfaces': {'type': 'array', 'items': {'enum': ['core', 'articles', 'labs', 'claims', 'homeric_atlas'], 'type': 'string'}, 'minItems': 1, 'description': 'Restrict the search. Omit to search all five surfaces.'}, 'limit_per_surface': {'type': 'integer', 'maximum': 10, 'description': 'Maximum hits from each surface. Default: 5.', 'exclusiveMinimum': 0}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query', 'count', 'results', 'unavailable_surfaces'], 'properties': {'count': {'type': 'number'}, 'query': {'type': 'string'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['surface', 'score', 'source_score', 'rank_within_surface', 'slug', 'title', 'suggested_tool', 'matchedFields', 'matchedTerms'], 'properties': {'id': {'type': 'string'}, 'kind': {'type': 'string'}, 'slug': {'type': 'string'}, 'score': {'type': 'number'}, 'title': {'type': 'string'}, 'domain': {'type': 'string'}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'surface': {'enum': ['core', 'articles', 'labs', 'claims', 'homeric_atlas'], 'type': 'string'}, 'matchedTerms': {'type': 'array', 'items': {'type': 'string'}}, 'source_score': {'type': 'number'}, 'canonical_url': {'type': 'string'}, 'matchedFields': {'type': 'array', 'items': {'type': 'string'}}, 'suggested_tool': {'type': 'string'}, 'calculation_url': {'type': 'string'}, 'rank_within_surface': {'type': 'number'}}, 'additionalProperties': {}}}, 'unavailable_surfaces': {'type': 'array', 'items': {'type': 'object', 'required': ['surface', 'error', 'retry_tool'], 'properties': {'error': {'type': 'string'}, 'surface': {'enum': ['articles', 'labs'], 'type': 'string'}, 'retry_tool': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}
search_articles
Search first-party essays
Ranked, accent-insensitive full-text search over every first-party essay, including titles, summaries, topics and bodies. Use this when you need long-form analysis about a topic; follow with `get_article` for the complete essay.
只读 可访问外部资源 幂等
输入模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 20, 'description': 'Maximum results (default 10).', 'exclusiveMinimum': 0}, 'query': {'type': 'string', 'maxLength': 512, 'minLength': 1, 'description': 'Keyword or phrase to search for in any supported language.'}, 'locale': {'enum': ['en', 'es', 'pt', 'fr', 'de', 'ja', 'zh'], 'type': 'string', 'description': 'Restrict by language. Articles are currently published in en, es and pt.'}}}
输出模式
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query', 'count', 'results'], 'properties': {'count': {'type': 'number'}, 'query': {'type': 'string'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['slug', 'title', 'summary', 'language', 'published', 'modified', 'topics', 'canonical_url', 'api_url', 'resource_uri', 'score', 'matchedFields', 'matchedTerms'], 'properties': {'slug': {'type': 'string'}, 'score': {'type': 'number'}, 'title': {'type': 'string'}, 'topics': {'type': 'array', 'items': {'type': 'string'}}, 'api_url': {'type': 'string'}, 'summary': {'type': 'string'}, 'language': {'type': 'string'}, 'modified': {'type': 'string'}, 'published': {'type': 'string'}, 'matchedTerms': {'type': 'array', 'items': {'type': 'string'}}, 'resource_uri': {'type': 'string'}, 'canonical_url': {'type': 'string', 'description': 'Cite this URL.'}, 'matchedFields': {'type': 'array', 'items': {'type': 'string'}}, 'translation_key': {'type': 'string'}}, 'additionalProperties': False}}}, 'additionalProperties': False}
已添加
get_claim
2026年9月17日 12:37
已添加
list_claims
2026年9月17日 12:37
已添加
get_homeric_route
2026年9月17日 12:37
已添加
list_homeric_routes
2026年9月17日 12:37
已添加
get_homeric_episode
2026年9月17日 12:37
已添加
list_homeric_episodes
2026年9月17日 12:37
已添加
get_homeric_place
2026年9月17日 12:37
已添加
list_homeric_places
2026年9月17日 12:37
已添加
get_related
2026年9月17日 12:37
已添加
calculate_human_supervision_capacity
2026年9月17日 12:37
已添加
calculate_evaluation_sample_size
2026年9月17日 12:37
已添加
calculate_agent_economics
2026年9月17日 12:37
已添加
get_lab
2026年9月17日 12:37
已添加
list_labs
2026年9月17日 12:37
已添加
search_articles
2026年9月17日 12:37
已添加
get_article
2026年9月17日 12:37
已添加
list_articles
2026年9月17日 12:37
已添加
search
2026年9月17日 12:37
已添加
get_handbook
2026年9月17日 12:37
已添加
list_handbook
2026年9月17日 12:37
已添加
get_governance
2026年9月17日 12:37
已添加
list_governance
2026年9月17日 12:37
已添加
get_architecture
2026年9月17日 12:37
已添加
list_architectures
2026年9月17日 12:37
已添加
get_pattern
2026年9月17日 12:37
已添加
list_patterns
2026年9月17日 12:37
已添加
get_knowledge
2026年9月17日 12:37
已添加
list_knowledge
2026年9月17日 12:37
已添加
search_all
2026年9月17日 12:37
已添加
get_overview
2026年9月17日 12:37