Single tool 'get_weather' has a basic description (89 chars) and input schema with two parameters (city, date). However, the schema lacks proper type definitions in the visible code, parameters are inferred from Pydantic BaseModel but not explicitly declared with JSON Schema types/descriptions in the MCP registration layer. No output schema is documented. The tool description is generic and does not explain when to use it, what it returns, or error handling. No error recovery guidance. The implementation is a simple HTTP POST wrapper around a mock weather API with no validation, rate limiting, or security considerations. Tool naming is acceptable (verb_noun: get_weather) but descriptions fall short of production standards.

• Add explicit JSON Schema output documentation: {city: string, date: string, weather: string, temperature: string}. Include field descriptions and example values.
• Expand tool description to 150-250 chars: 'Retrieves current or forecasted weather conditions for a specified city. Returns temperature, weather condition, and date. Use this to answer weather-related questions. Supports city names (e.g., Taipei, Grand Canyon) and dates (today, tomorrow, or YYYY-MM-DD format).'
• Add parameter descriptions: city='City name (e.g., Taipei, Grand Canyon, USA). Case-insensitive.'; date='Date for forecast (today, tomorrow, or YYYY-MM-DD). Defaults to today.'
• Implement input validation with actionable errors: 'Invalid date format. Use today, tomorrow, or YYYY-MM-DD (e.g., 2025-05-06).' Return 404 with suggestions: 'City not found. Available: Taipei, Grand Canyon USA, Pingjhen Taiwan.'
• Add error classification: document which errors are retryable (timeout, rate limit) vs user-fixable (invalid city, unsupported date) vs fatal (API down).

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

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