Single tool 'execute_skill_action' has a minimal description (97 chars) that lacks actionable context for LLM selection. The input schema is present but extremely sparse: only one parameter 'query_payload' with a generic string type and minimal description. No output schema is documented, the tool returns a hardcoded JSON response with no field descriptions. The tool name uses a verb but is vague ('execute_skill_action' could mean anything). No error handling guidance, no parameter constraints, no indication of what the tool actually does or when to use it. The description mentions 'Full-Stack Vibe Coding & AST Hotfix' but provides no concrete examples, prerequisites, or expected outcomes. This server appears to be a stub implementation rather than a production-ready tool.

• Document the complete output schema with field names, types, and descriptions. Example: {"status": "string (SUCCESS|ERROR)", "message": "string", "triage_id": "string", "fix_pattern": "string"}
• Expand tool description to 100-200 chars explaining: (1) What it does (e.g., 'Analyzes client-side hydration errors and returns root cause + fix pattern'), (2) When to use it (e.g., 'Call when debugging React SSR mismatches'), (3) What it returns (e.g., 'Triage ID, root cause classification, and code snippet')
• Add constraints and format guidance to 'query_payload' parameter. Example: 'JSON string containing error_stack, server_rendered_html, and client_rendered_html fields. Max 10KB.'
• Implement error handling that returns structured errors with recovery guidance. Example: {"status": "ERROR", "code": "INVALID_PAYLOAD", "message": "query_payload must be valid JSON", "recovery": "Ensure query_payload contains error_stack, server_rendered_html, and client_rendered_html fields"}
• Rename tool to a more specific verb_noun pattern. Consider 'triage_hydration_error' or 'analyze_ssr_mismatch' to clearly signal intent and match the actual client-side functionality.