This server has one tool (get_weather) with minimal documentation. The tool name is appropriately verb-prefixed (get_), but the input schema is incomplete, the description is missing entirely, and there are no parameter descriptions. The tool definition in src/index.mjs shows: server.tool('get_weather', { location: z.string() }, ...). While Zod schema is present, there is no tool description, no parameter description for 'location', and no documented output schema. Against the 54 Agentic Tool Patterns baseline, this server scores poorly on naming (acceptable), description (critical failure), schema completeness (partial), and error handling (none visible). The server also implements prompts and resources, but these have similar documentation gaps. This is a minimal proof-of-concept that does not meet production baseline standards.

• Add a tool description to 'get_weather': 'Retrieves the current weather conditions for a specified location. Returns temperature, conditions (sunny/cloudy/rainy), and forecast summary. Call this when the user asks about weather, temperature, or forecast.'
• Add parameter description for 'location': 'The city name or location to retrieve weather for (e.g. London, New York, Paris). Accepts city name, optionally with country code (e.g. London, UK).'
• Document the output schema explicitly. Currently the tool returns { content: [{ type: 'text', text: string }] }, but LLMs need to know the exact structure and meaning of the response fields.
• Replace hardcoded weather response with actual API call to a real weather service (OpenWeatherMap, Weather.gov, etc.) so the tool returns location-specific data.
• Add error handling with actionable recovery guidance: 'If location is not found, return: "Location not found. Try a city name with country code (e.g. London, UK)."'
• Add parameter constraint documentation: specify whether 'location' accepts coordinates (lat,lon), zip codes, or only city names, and what format is expected.
• Consider adding optional parameters for units (Celsius/Fahrenheit) and forecast duration to make the tool more flexible.