This server has basic tool definitions but significant quality gaps that would not pass production code review. Both tools are explicitly registered with FastMCP decorators (@mcp.tool()), have descriptions and documented input schemas. However, descriptions are too short (10-40 chars after 'Args:' clarification), parameter descriptions lack guidance on valid ranges/formats, output format is undocumented string concatenation rather than structured objects, and there is no error handling guidance for LLMs. The parameter 'state' and 'latitude'/'longitude' lack examples of valid input ranges or constraints. Neither tool documents what happens on error or what the returned string format guarantees. No output schema is documented, tools return plain strings with hardcoded formatting. The tool descriptions embed parameter documentation inline rather than providing a clear action summary. Naming is verb-correct (get_* pattern), but schema quality and error handling are below baseline for production use.

• Add enum constraint to 'state' parameter: must be one of valid US state codes (CA, NY, TX, etc.). Document in parameter description: 'Two-letter US state code (e.g., CA, NY, TX). Must be valid USPS abbreviation.'
• Add min/max constraints to latitude and longitude. Document: 'Latitude between -90 and 90 (decimal degrees, e.g., 37.7749 for San Francisco). Longitude between -180 and 180.'
• Rewrite tool descriptions as standalone LLM-optimized summaries (50-150 chars), separate from parameter docs. E.g., 'get_alerts: Retrieve active weather alerts for a US state. Returns event, severity, and instructions.' Then put parameter details in parameter descriptions only.
• Return structured JSON objects instead of formatted strings. For get_alerts, return: {alerts: [{event: string, area: string, severity: string, description: string, instruction: string}], total: number}. For get_forcast, return: {periods: [{name: string, temperature: number, temperatureUnit: string, windSpeed: string, windDirection: string, forecast: string}]}.
• Add error classification: distinguish 'Invalid state code' (user-fixable) from 'NWS API unavailable' (retryable) from 'Invalid coordinates' (user-fixable). Return structured errors: {error: string, type: 'invalid_input'|'service_unavailable'|'not_found', suggestion: string}.
• Validate inputs before calling NWS API. For state, check against a whitelist of valid codes. For coordinates, verify ranges. Return early with a descriptive error if invalid.
• Fix tool name spelling: rename 'get_forcast' to 'get_forecast' to match standard English spelling and user expectations.