This server has a single tool 'execute_skill_action' with virtually no definition. The tool description is generic ('Execute a skill action through the MCP server') and provides no actionable guidance. No input schema is visible in the source code, the mcp_server.py only prints a JSON status message with no tool registration, parameter definitions, or output schema. The client.py and example_usage.py demonstrate a separate client class unrelated to MCP tool invocation. The server does not implement the MCP protocol; it merely prints a status message to stdout. No parameters are documented, no error handling is present, and no structured output is defined.

• Define explicit input schema with typed parameters. Example: {"type": "object", "properties": {"skill_name": {"type": "string", "description": "Name of the skill to execute (e.g., 'code_reasoning', 'moe_routing')"}, "reasoning_prompt": {"type": "string", "description": "The code reasoning task or prompt"}, "active_experts_count": {"type": "integer", "minimum": 1, "maximum": 8, "description": "Number of expert models to activate (1-8)"}}, "required": ["skill_name", "reasoning_prompt"]}
• Expand tool description to 100-200 characters explaining purpose, when to use, and what it returns. Example: 'Route a code reasoning task through a sparse mixture-of-experts model. Activates a subset of expert models based on the prompt, returns inference ID, activated expert IDs, and code correctness metrics (Pass@1 score, parameter efficiency, benchmark score).'
• Document output schema with all return fields and types. Example: {"type": "object", "properties": {"moe_inference_id": {"type": "string"}, "activated_expert_ids": {"type": "array", "items": {"type": "integer"}}, "code_correctness_pass_at_1_pct": {"type": "number", "minimum": 0, "maximum": 100}, "vibe_coding_benchmark_score": {"type": "number"}}}
• Rename tool to a more specific verb_noun pattern. Consider 'route_code_reasoning' or 'invoke_moe_skill' to clarify the action and domain.
• Add error handling with actionable messages. Define failure modes (invalid skill name, prompt too long, expert count out of range) and recovery guidance for each.