Server has 6 tools with consistent definition structure. All tools have descriptions and input schemas with types. However, schemas lack proper output documentation, error handling guidance is minimal, and parameter descriptions are basic. Tools follow verb_noun naming convention well. The server is functional for basic use but falls short of production-grade quality for agentic deployment.

• Add explicit output schema documentation for each tool. Example for geocode: 'Returns an object with fields: address (string), latitude (number, -90 to 90), longitude (number, -180 to 180).'
• Enhance error responses with recovery guidance. E.g., 'Division by zero is not allowed. Ensure num2 ≠ 0 and retry.' or 'Timezone not found. Try calling with a valid IANA timezone (e.g., Asia/Seoul, America/New_York).'
• Expand tool descriptions to 100-150 characters with explicit composition hints. E.g., 'geocode: Converts a city/address name to lat/lon coordinates. Use this first if you only have an address, then pass lat/lon to get-weather.'
• Document parameter ranges and formats in descriptions, not just in schemas. E.g., 'timezone: IANA timezone name (string), e.g. Asia/Seoul, America/New_York, Europe/London. Invalid timezones return an error.'
• Validate token presence for generate-image at initialization or first call, and return a clear error: 'Hugging Face API token not configured. Set HF_TOKEN environment variable or pass hfToken in server config.' Avoid exposing token in error logs.
• Add idempotentHint annotations to read-only tools (greet, calculator, get-time, geocode, get-weather) using tool annotations pattern to signal to agents that these are safe to retry.
• Return structured output for all tools. Instead of plain text, return JSON objects with typed fields so LLMs can extract data reliably. Example for geocode: { address, latitude, longitude } instead of a formatted string.