Single tool 'execute_skill_action' has a minimal description (89 chars, below 194-char baseline) and lacks parameter descriptions entirely. The input schema defines only 'query_payload' as a string with a 47-char description, but provides no guidance on format, constraints, or expected content. No output schema is documented. The tool name uses a generic verb ('execute') rather than a domain-specific action. No error handling, validation rules, or recovery guidance. This server reads as a stub implementation rather than a production-ready tool.

• Rename tool to a domain-specific action verb. E.g., 'inject_chaos_fault', 'fuzz_agent_latency', or 'run_resilience_test', something that tells the LLM exactly what happens when called.
• Expand tool description to 150 - 250 chars. Include: (1) What it does, (2) When to use it (e.g., 'Use this to simulate network faults in distributed agent clusters'), (3) What it returns (e.g., 'Returns chaos experiment ID, target cluster, and telemetry URL').
• Add explicit description to 'query_payload' parameter. Specify format (JSON object? Plain string? Specific schema?), constraints (max length? Required fields?), and example structure.
• Document the output schema in the tool definition. Include field names, types, and descriptions for 'status', 'message', and any other fields returned.
• Implement input validation and error handling. Validate 'query_payload' format; return actionable errors like 'Invalid query_payload: expected JSON object with keys {x, y, z}' instead of generic success.