Only 1 tool defined (ADD). Tool has proper JSON Schema with typed parameters and descriptions, but the server exhibits critical structural and documentation issues. Tool naming is overly generic (single word, no verb_noun pattern). The server is incomplete, dependencies declared but sample_fastapi_server files suggest the project is a template or boilerplate, not production-ready. Error handling exists but lacks recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint). The implementation mixes unused imports (FastMCP, SSE transport), incomplete comments, and hardcoded localhost URLs, suggesting active development rather than stable code.

• Rename ADD to 'add_integers' or 'add_two_numbers' to follow verb_noun convention and clarify intent for LLM tool selection
• Expand tool description to 50-150 characters: 'Add two integers together and return their sum. Use when the user requests basic arithmetic addition. Returns the integer result.'
• Add tool annotations in the Tool definition: readOnlyHint=true, idempotentHint=true to enable agent planning
• Document output schema in description: 'Returns a TextContent with the sum as 'result: <number>'.' Or embed schema metadata in response structure
• Replace hardcoded 'http://localhost:8000/add' with environment variable: backend_url = os.getenv('BACKEND_URL', 'http://localhost:8000')
• Enhance error handling to categorize and guide recovery: 'Backend unavailable at [URL]. Ensure the FastAPI server is running on port 8000 and try again.' or 'Invalid input: a and b must be integers, got {type(a)} and {type(b)}'
• Remove dead code: unused FastMCP import, incomplete comments, and sample_fastapi_server.py and sample_fastapi_server2.py files (move to separate examples directory if keeping)
• Add parameter descriptions clarifying expected range if needed (e.g., 'a: integer (no range limit, e.g., -1000 to 1000)')

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry