Serveur MCP
SigRank — AI Operator Benchmarking
com.signalaf/sigrank
Ce que fait ce MCP
Benchmarks AI operator token usage, calculates cascade metrics, compares leaderboard performance, diagnoses efficiency, and simulates workflow changes.
Capacités
Outils
16
outils
benchmark_me
Benchmark Me â Field Position Analyzer
Answers 'How good am I?' â benchmarks your token cascade against the live field. Takes 4 token pillars (or a codename), computes your cascade, then compares against the live leaderboard: percentile, rank, distance from median, distance from top 10%, strongest metric, weakest metric, and a one-line interpretation. This is the human-question tool â use it when someone asks 'am I a power user?' or 'how do I compare?'.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Total input tokens. Required if codename is not provided.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Total output tokens. Required if codename is not provided.'}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d', 'description': 'Time window for field comparison (default 30d).'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'codename': {'type': 'string', 'description': 'Operator codename (alternative to providing pillars). If provided, fetches live profile from the board.'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Cache-read tokens. Required if codename is not provided.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Cache-write tokens. Required if codename is not provided.'}}}
compare_to_field
Compare to Field â You vs Field vs Top 10% vs Top 1%
Creates a 'YOU vs FIELD vs TOP 10% vs TOP 1%' comparison table for your cascade metrics. Takes 4 pillars or a codename, fetches the live leaderboard, and returns your metrics alongside field median, top quartile, top decile, and top percentile for yield, leverage, velocity, and SNR. Simple, useful, and immediately understandable.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'codename': {'type': 'string', 'description': 'Operator codename (alternative to pillars)'}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}}
diagnose_cascade
Diagnose Cascade â Efficiency Leak Finder
Analyzes your token cascade and diagnoses where you're leaking efficiency. Takes 4 token pillars and produces a ranked list of efficiency leaks with severity (critical/warning/info), findings, recommendations, and estimated Υ impact. Checks: cache leverage, velocity, SNR, cache creation ratio, input bloat, and 10xDEV compounding. Use this before simulate_change to understand what's wrong.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Total input tokens.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Total output tokens.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Cache-read tokens.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Cache-write tokens.'}}}
field_anomaly
Field Anomaly â Unusual Patterns in the Leaderboard
Finds unusual operators, metric relationships, and outliers in the live leaderboard â without user prompting. Returns: highest velocity among below-median leverage operators, only top-50 operator with near-zero cache write, largest 30-day yield improvement, rarest signature, and extreme divergence. Powers automated micro-marketing and field insights.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}}}
get_leaderboard
Get Leaderboard â Public Operator Rankings
Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100, 'minimum': 1, 'description': 'Maximum number of operators to return (1â\x80\x93100, default 25).'}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d', 'description': 'Time window for the leaderboard: 7d, 30d, 90d, or all_time.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}}}
Schéma de sortie
{'type': 'object', 'properties': {'window': {'type': 'string', 'description': 'The time window used for the query.'}, 'entries': {'type': 'array', 'items': {'type': 'object', 'properties': {'rank': {'type': 'integer', 'description': 'Global rank position.'}, 'yield_': {'type': ['number', 'null'], 'description': 'Yield (Î¥) if compounding, else null.'}, 'codename': {'type': 'string', 'description': "Operator's unique codename (URL key, not display name)."}, 'leverage': {'type': ['number', 'null'], 'description': 'Leverage if compounding, else null.'}, 'class_tier': {'type': 'string', 'description': 'Operator class tier.'}, 'display_name': {'type': 'string', 'description': 'Human-readable operator display name.'}}}}, 'total_operators': {'type': 'integer', 'description': 'Number of operators returned.'}}}
get_operator
Get Operator â Public Profile by Codename
Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['codename', 'context'], 'properties': {'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'codename': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': "The operator's unique codename (e.g. signal-ae3b5c3c55). Not the display name."}}}
Schéma de sortie
{'type': 'object', 'properties': {'snr': {'type': ['number', 'null'], 'description': 'Signal-to-noise ratio.'}, 'rank': {'type': 'integer', 'description': 'Global rank position.'}, 'yield_': {'type': ['number', 'null'], 'description': 'Yield (Î¥) if compounding, else null.'}, 'codename': {'type': 'string', 'description': "Operator's unique codename."}, 'leverage': {'type': ['number', 'null'], 'description': 'Leverage if compounding, else null.'}, 'velocity': {'type': ['number', 'null'], 'description': 'Velocity = output / input.'}, 'class_tier': {'type': 'string', 'description': 'Operator class tier.'}, 'percentile': {'type': 'number', 'description': 'Percentile in the public field.'}, 'display_name': {'type': 'string', 'description': 'Human-readable display name.'}}}
get_sigrank_standard_record
Export SigRank Standard Record
Build a SigRank Standard v0.1-draft portable operator record from available token telemetry. Input and output are required; unavailable cache telemetry remains null. Computes only the five-metric portable core through @sigrank/cascade and does not submit or persist data.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'context'], 'properties': {'tool': {'type': 'string', 'minLength': 1, 'description': 'Optional tool/client identifier.'}, 'input': {'type': 'integer', 'minimum': 0, 'description': 'Fresh input tokens.'}, 'model': {'type': 'string', 'minLength': 1, 'description': 'Optional model identifier.'}, 'output': {'type': 'integer', 'minimum': 0, 'description': 'Output tokens.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'provider': {'type': 'string', 'minLength': 1, 'description': 'Optional provider identifier.'}, 'timestamp': {'type': 'string', 'format': 'date-time', 'description': 'Optional ISO-8601 timestamp. Defaults to the current time.'}, 'cache_read': {'type': ['integer', 'null'], 'minimum': 0, 'description': 'Cache-read tokens, or null when unavailable.'}, 'cache_write': {'type': ['integer', 'null'], 'minimum': 0, 'description': 'Cache-write / cache-creation tokens, or null when unavailable.'}}}
Schéma de sortie
{'type': 'object', 'required': ['spec', 'timestamp', 'source', 'telemetry', 'metrics', 'warnings'], 'properties': {'spec': {'const': 'sigrank/0.1-draft'}, 'source': {'type': 'object', 'required': ['provider', 'model', 'tool'], 'properties': {'tool': {'type': 'string'}, 'model': {'type': 'string'}, 'provider': {'type': 'string'}}, 'additionalProperties': False}, 'metrics': {'type': 'object', 'required': ['yield', 'leverage', 'velocity', 'snr', 'dev10x'], 'properties': {'snr': {'type': ['number', 'null']}, 'yield': {'type': ['number', 'null']}, 'dev10x': {'type': ['number', 'null']}, 'leverage': {'type': ['number', 'null']}, 'velocity': {'type': ['number', 'null']}}, 'additionalProperties': False}, 'warnings': {'type': 'array', 'items': {'type': 'string'}}, 'telemetry': {'type': 'object', 'required': ['input', 'output', 'cache_write', 'cache_read'], 'properties': {'input': {'type': 'integer', 'minimum': 0}, 'output': {'type': 'integer', 'minimum': 0}, 'cache_read': {'type': ['integer', 'null'], 'minimum': 0}, 'cache_write': {'type': ['integer', 'null'], 'minimum': 0}}, 'additionalProperties': False}, 'timestamp': {'type': 'string', 'format': 'date-time'}}, 'additionalProperties': False}
operator_gap
Operator Gap â What Separates Two Operators
Answers 'What specifically separates operator A from operator B?' â not just 'A has more Yield', but the primary cause, secondary cause, and offsetting weakness. Takes two codenames or two sets of pillars, computes both cascades, and decomposes the yield gap into leverage, velocity, SNR, and scale contributions. Returns the most explanatory factor.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'a_input': {'type': 'number', 'minimum': 0}, 'b_input': {'type': 'number', 'minimum': 0}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'a_output': {'type': 'number', 'minimum': 0}, 'b_output': {'type': 'number', 'minimum': 0}, 'a_codename': {'type': 'string', 'description': 'Codename for operator A (alternative to a_* pillars)'}, 'b_codename': {'type': 'string', 'description': 'Codename for operator B (alternative to b_* pillars)'}, 'a_cache_read': {'type': 'number', 'minimum': 0}, 'b_cache_read': {'type': 'number', 'minimum': 0}, 'a_cache_write': {'type': 'number', 'minimum': 0}, 'b_cache_write': {'type': 'number', 'minimum': 0}}}
operator_signature
Operator Signature â Portable Identity Object
Computes a normalized operating signature from 4 token pillars or a codename. Returns a signature code, a legacy six-label signature_label, dominant trait, and closest comparable operators from the live board. The deprecated archetype field is retained as a compatibility alias; these labels are not the 10-type Build Archetypes reference extension.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'codename': {'type': 'string', 'description': 'Operator codename (alternative to pillars)'}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}}
rank_if
Rank If â Counterfactual Rank Simulator
Answers 'What would it take to reach a target rank?' â takes your current 4 token pillars and a target percentile (e.g. 90 for top 10%), then simulates the smallest metric changes needed to reach that position. Returns: current rank/percentile, simulated rank/percentile, the specific pillar changes required, and the yield delta. This turns SigRank from a scoreboard into a simulator. Use it when someone asks 'what would move my rank?' or 'how do I get to top 10%?'.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'target_percentile', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Current input tokens.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Current output tokens.'}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d', 'description': 'Time window for field comparison (default 30d).'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Current cache-read tokens.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Current cache-write tokens.'}, 'target_percentile': {'type': 'number', 'maximum': 100, 'minimum': 0, 'description': 'Target percentile (0-100). E.g. 90 for top 10%, 99 for top 1%.'}}}
rank_paste
Rank Paste â Local Token Cascade Calculator
Calculate SigRank cascade metrics from four non-negative token counts without submitting data. Returns Yield, Leverage, Velocity, SNR, and 10xDEV. No data is persisted.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Total input tokens consumed in the session.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Total output tokens generated.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Tokens read from prompt cache (reused context).'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Tokens written to prompt cache (new context stored for reuse).'}}}
Schéma de sortie
{'type': 'object', 'properties': {'snr': {'type': ['number', 'null'], 'description': 'Signal-to-noise ratio = output / (input + output). Null when input is zero.'}, 'input': {'type': 'number', 'description': 'Echoed input token count.'}, 'dev10x': {'type': ['number', 'null'], 'description': 'logâ\x82\x81â\x82\x80(Leverage). Logarithmic context amplification.'}, 'output': {'type': 'number', 'description': 'Echoed output token count.'}, 'yield_': {'type': ['number', 'null'], 'description': 'Yield (Î¥) = (cache_read Ã\x97 output) / input². Headline cascade efficiency. Null when input is zero.'}, 'leverage': {'type': ['number', 'null'], 'description': 'Leverage = cache_read / input. Reusable context amplification. Null when input is zero.'}, 'velocity': {'type': ['number', 'null'], 'description': 'Velocity = output / input. Output per unit of input. Null when input is zero.'}, 'cache_read': {'type': 'number', 'description': 'Echoed cache-read token count.'}, 'cache_write': {'type': 'number', 'description': 'Echoed cache-write token count.'}, 'non_compounding': {'type': 'boolean', 'description': 'True if cache_write is zero (no compounding context).'}}}
rank_windows
Rank Windows â Multi-Window Cascade
Score up to 4 time windows (7d, 30d, 90d, all-time) in one call. Each window is scored independently with the full cascade (Î¥, SNR, Leverage, Velocity, 10xDEV, class). Omit windows you don't have â partial input is allowed (1-4 windows). Does NOT submit to the board.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'7d': {'type': 'object', 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}, 'description': '7-day window token pillars (optional)', 'additionalProperties': False}, '30d': {'type': 'object', 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}, 'description': '30-day window token pillars (optional)', 'additionalProperties': False}, '90d': {'type': 'object', 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}, 'description': '90-day window token pillars (optional)', 'additionalProperties': False}, 'all': {'type': 'object', 'properties': {'input': {'type': 'number', 'minimum': 0}, 'output': {'type': 'number', 'minimum': 0}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}, 'description': 'All-time window token pillars (optional)', 'additionalProperties': False}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}}}
self_improve
Self-Improve â One-Click Cascade Optimizer
Runs the full self-improvement cycle in one call: (1) computes your current cascade from 4 token pillars, (2) diagnoses efficiency leaks, (3) generates ranked improvement suggestions, (4) simulates the top suggestion, and (5) returns the complete cycle: diagnosis + suggestions + simulated impact of the best change. The 'one-click optimize' tool â call it at the end of a session to see what to improve next time.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Total input tokens.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Total output tokens.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Cache-read tokens.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Cache-write tokens.'}}}
simulate_change
Simulate Change â What-If Cascade Predictor
Prescriptive 'what if' tool â takes your current 4 token pillars and proposed changes, runs the cascade on both, returns the exact Î¥ Yield delta, class change, and per-metric diffs. Test proposed pillar changes and see the payoff before changing your workflow. Changes can be absolute numbers (replace) or strings starting with +/- for relative deltas.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'changes', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Current input tokens.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Current output tokens.'}, 'changes': {'type': 'object', 'properties': {'input': {'type': ['number', 'string'], 'description': "New input (absolute) or '+/-N' (relative)"}, 'output': {'type': ['number', 'string'], 'description': "New output (absolute) or '+/-N' (relative)"}, 'cache_read': {'type': ['number', 'string'], 'description': "New cache_read (absolute) or '+/-N' (relative)"}, 'cache_write': {'type': ['number', 'string'], 'description': "New cache_write (absolute) or '+/-N' (relative)"}}, 'description': 'Proposed changes. Keys: input, output, cache_read, cache_write. Values are absolute numbers (replace) or strings starting with +/- for relative deltas. Omitted pillars are unchanged.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Current cache-read tokens.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Current cache-write tokens.'}}}
suggest_improvements
Suggest Improvements â Ranked Yield Optimizer
Generates ranked, simulated improvement suggestions for your token cascade. Takes 4 token pillars, tests multiple strategies (increase cache reads, reduce input, increase output, optimize cache creation), simulates each, and returns them ranked by Υ yield impact. Each suggestion includes the action, pillar to change, projected Υ, yield delta, projected class, and rationale. Returns the single highest-impact change as best_single_change.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['input', 'output', 'cache_read', 'cache_write', 'context'], 'properties': {'input': {'type': 'number', 'minimum': 0, 'description': 'Total input tokens.'}, 'output': {'type': 'number', 'minimum': 0, 'description': 'Total output tokens.'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'cache_read': {'type': 'number', 'minimum': 0, 'description': 'Cache-read tokens.'}, 'cache_write': {'type': 'number', 'minimum': 0, 'description': 'Cache-write tokens.'}}}
who_operates_like_me
Who Operates Like Me â Nearest Neighbor Finder
Finds operators whose operating signature most resembles yours. Takes 4 pillars or a codename, computes your signature, then searches the live leaderboard for the nearest neighbors by signature distance. Returns: nearest operators, similarity %, where they outperform you, where you outperform them, and what separates you from the better operator. Makes the leaderboard feel like a network, not a list.
Lecture seule
Idempotent
Schéma d’entrée
{'type': 'object', 'required': ['context'], 'properties': {'input': {'type': 'number', 'minimum': 0}, 'limit': {'type': 'number', 'default': 5, 'maximum': 20, 'minimum': 1, 'description': 'Number of nearest neighbors to return (default 5)'}, 'output': {'type': 'number', 'minimum': 0}, 'window': {'enum': ['7d', '30d', '90d', 'all_time'], 'type': 'string', 'default': '30d'}, 'context': {'type': 'string', 'description': 'Explain why you are calling this tool and how it fits into the user\'s overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person (\'I\', \'we\', \'you\') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization\'s repositories to find all open issues related to performance complaints and latency issues for team prioritization."'}, 'codename': {'type': 'string', 'description': 'Operator codename (alternative to pillars)'}, 'cache_read': {'type': 'number', 'minimum': 0}, 'cache_write': {'type': 'number', 'minimum': 0}}}
Historique
Modifications récentes des outils
Ajouté
operator_signature
17 September 2026 12:37
Ajouté
compare_to_field
17 September 2026 12:37
Ajouté
who_operates_like_me
17 September 2026 12:37
Ajouté
field_anomaly
17 September 2026 12:37
Ajouté
operator_gap
17 September 2026 12:37
Ajouté
rank_if
17 September 2026 12:37
Ajouté
benchmark_me
17 September 2026 12:37
Ajouté
rank_windows
17 September 2026 12:37
Ajouté
self_improve
17 September 2026 12:37
Ajouté
suggest_improvements
17 September 2026 12:37
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diagnose_cascade
17 September 2026 12:37
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simulate_change
17 September 2026 12:37
Ajouté
get_operator
17 September 2026 12:37
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get_leaderboard
17 September 2026 12:37
Ajouté
get_sigrank_standard_record
17 September 2026 12:37
Ajouté
rank_paste
17 September 2026 12:37
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