Critical failures across all dimensions. The single tool 'execute_skill_action' has a reasonable name and basic description, but the implementation is non-functional: mcp_server.py contains only a stub that prints a JSON status message and never actually registers tools, handles requests, or implements the MCP protocol. The tool definition exists only in documentation, not in executable code. Input schema is present but minimal. No output schema is documented. No error handling, validation, or recovery guidance. The server does not implement the MCP protocol at all, it is a non-functional stub.

• Implement the MCP protocol in mcp_server.py: add a message loop that reads JSON-RPC requests from stdin, parses tool calls, invokes the client, and writes responses to stdout.
• Register the tool explicitly in code with full schema: tool name, description, input schema with types and descriptions for all parameters, and documented output schema.
• Add output schema documentation: specify the structure of top_suppliers, competitor_shipments, and market_opportunity_score (types, required fields, example values).
• Add input validation: define HS code format (e.g., regex '^[0-9]{4}\.[0-9]{2}$'), country_of_focus as enum or validated against ISO 3166-1 codes, and document constraints in parameter descriptions.
• Add error handling: document what happens if HS code is invalid, country is not found, or the analysis service is unavailable. Provide recovery guidance (e.g., 'Try a broader HS code category').