This server has critical definition failures. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic 18-character description that violates the 20-character minimum for scoring above 0. The mcp_server.py file contains only a JSON print statement with no actual MCP protocol implementation, tool registration, or schema definitions. Tool definitions are entirely inferred from the name alone; no explicit registration with schema is visible in the source code.

• Add explicit JSON Schema input definition to execute_skill_action with typed parameters (e.g., decision_event: object, agent_id: string) and descriptions for each.
• Expand tool description to 50-200 characters explaining WHAT it does, WHEN to use it, and WHAT it returns. Current 18-char description is insufficient for LLM selection.
• Document all parameters with type, format, constraints, and purpose. E.g., 'decision_event (object): The decision event to log, containing action, confidence, and reason fields. Required.'
• Add output schema documenting return fields (audit_hash_sha256, compliance_logged, provenance_block_id) with types and descriptions.
• Implement proper MCP protocol handshake and tool registration in mcp_server.py instead of a static JSON print. Use official MCP SDK or implement JSONRPCv2 message handling.