此 MCP 可以做什么
Models proof-of-work policies and latency for AI agent workloads and provides bounded, non-protective defense rehearsals.
工具
输入模式
{'type': 'object', 'title': 'describe_agentArguments', 'properties': {}}
输出模式
{'type': 'object', 'title': 'describe_agentOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
输入模式
{'type': 'object', 'title': 'rehearse_defenseArguments', 'required': ['client_hashes_per_second', 'client_p95_budget_ms', 'backend_cost_ms', 'peak_requests_per_second'], 'properties': {'backend_cost_ms': {'type': 'integer', 'title': 'Backend Cost Ms'}, 'client_p95_budget_ms': {'type': 'integer', 'title': 'Client P95 Budget Ms'}, 'client_hashes_per_second': {'type': 'integer', 'title': 'Client Hashes Per Second'}, 'peak_requests_per_second': {'type': 'integer', 'title': 'Peak Requests Per Second'}}}
输出模式
{'type': 'object', 'title': 'rehearse_defenseOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
近期工具变更
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