This server has severe definition quality issues. Tool 1 (execute_skill_action) has no visible input schema in the source code, only a description. Tool 2 (coordinate_group_chat_deliberation) has a partial schema visible in the metadata but the actual tool registration is not shown in mcp_server.py. Neither tool is explicitly registered in the MCP server code; they appear to be inferred from client.py and example_usage.py. The server prints a static JSON response with no actual tool registration, schema validation, or parameter handling. Descriptions are present but generic. No error handling, no output schema documentation, no parameter validation. This is a stub implementation, not a functional MCP server.

• Implement actual MCP tool registration in mcp_server.py using proper JSON Schema. Define input and output schemas for both tools with explicit type definitions and parameter descriptions.
• Add comprehensive parameter descriptions. For coordinate_group_chat_deliberation, document what 'problem_statement' should contain, valid range for 'participants_count' (e.g., 2-10), and what the default value implies.
• Document output schemas. For coordinate_group_chat_deliberation, formally declare that the response includes group_chat_session_id (string), task (string), participating_agents (array of strings), rounds_completed (integer), consensus_reached (boolean), final_solution_verified (boolean), and chat_transcript_url (string).
• Rename execute_skill_action to a more specific verb_noun pair (e.g., invoke_skill, trigger_skill_action, or run_skill_task) and clarify in the description what state changes occur and when to use it instead of coordinate_group_chat_deliberation.
• Add error handling with recovery guidance. Return structured errors that tell the LLM what went wrong and what to try next (e.g., 'Problem statement too vague. Provide a concrete task description with acceptance criteria.').