This server has critical structural and definition deficiencies. Tool definitions are inferred from class methods rather than explicitly registered via MCP protocol. The mcp_server.py file does not implement proper MCP tool registration, it only prints a JSON status message. The client.py file contains a Python class with hardcoded mock responses, not actual MCP tool handlers. Neither tool has a visible input schema in the MCP protocol sense. Tool descriptions exist but are vague. No error handling, no parameter validation, no output schema documentation. This is not a functional MCP server.

• Implement proper MCP server using the official Python SDK (mcp package). Register tools via server.tool() decorator with full JSON Schema input definitions and descriptions.
• Add explicit input schemas for both tools. execute_skill_action needs parameters like action_type, target_tool, and policy_config. inspect_agent_execution_chain needs call_chain (array of objects with tool, params, risk_level) and security_policy (object with constraints).
• Replace hardcoded mock responses with real logic. Implement actual guardrail evaluation: parse the call chain, apply security policies, classify risk levels, and return actionable decisions.
• Add comprehensive error handling. Return structured errors with error_code, message, and recovery_hint. E.g., 'Invalid security_policy: missing max_chained_tool_calls. Provide a policy object with constraints.'
• Expand tool descriptions to 100-150 chars each. E.g., 'Inspect an agent execution chain against security policies. Evaluates each tool call for risk (LOW/MEDIUM/CRITICAL), returns ALLOW/AUDIT/BLOCK decision, and identifies threats like data exfiltration or unauthorized webhooks.'