Server exposes two weather tools with reasonable names and descriptions. Both tools use Zod schemas with clear parameter types and constraints. However, output schemas are not formally documented, responses are returned as JSON strings without a declared schema structure. Error handling is minimal; many edge cases (API timeouts, invalid coordinates, null responses) are not explicitly managed. Descriptions are adequate but lack detail on prerequisites, expected return structures, and failure modes. Parameters lack comprehensive validation guidance beyond what Zod provides. Schemas are visible in source but output documentation is entirely absent, which weakens the overall quality score.

• Add formal output schema documentation. For get_weather, document the returned object structure: { city: string, state: string, temperature: number, temperatureUnit: string, shortForecast: string, detailedForecast: string, windSpeed: string, windDirection: string, humidity: string, dewpoint: string, timestamp: string, source: string }.
• Wrap tool implementations in try-catch blocks with specific error types. Return structured error responses: { error: 'GEOCODE_FAILED', message: 'Could not find US location for: "InvalidCity". Try a major city name like Seattle or Chicago.', retryable: true }.
• Enhance tool descriptions to clarify intent differentiation: get_weather returns 'current conditions right now', get_weather_forecast returns 'future periods up to 7 days'. Add: 'If user asks about today's weather or current conditions, use get_weather. If they ask about next week or future forecasts, use get_weather_forecast.'
• Document the 'days' parameter behavior: 'Number of forecast periods to return (1-7). If user requests more than 7 days, return 7 periods. If they request 0 or negative, return a validation error.'
• Add dependency hints to city parameter: 'Must be a US city name (e.g., Seattle, New York). International cities or misspellings will fail; suggest asking the user to clarify if geocoding fails.'
• Return structured output instead of JSON strings. Use tool framework's response type to return an object directly, not a stringified JSON. This allows LLMs to reason about fields without parsing.