Two tools with basic verb-noun naming (get_alerts, get_forecast). Both have descriptions (50-60 chars, below the 194-char baseline), but lack depth on WHEN to use them or what they return. Input schemas present with type definitions and parameter descriptions, but output schemas are completely undocumented, LLMs cannot plan downstream calls or extract structured data. No error handling guidance; make_nws_request returns None silently, and tools return generic fallback strings. No pagination, no result limits documented. No tool annotations (readOnlyHint present in metadata but not in schema). Composition is reasonable (two distinct concerns), but responses are unstructured text rather than JSON objects.

• Document output schemas as JSON objects with typed fields. E.g., get_alerts returns {alerts: [{event: string, area: string, severity: string, description: string}], total: number}. This enables LLMs to extract and chain data.
• Expand descriptions to 100-150 chars. Add WHEN to use: 'Get active weather alerts for a US state. Use this to check for severe weather warnings (tornado, flood, winter storm) before planning outdoor activities.' Include what's returned: 'Returns list of active alerts with event type, area, severity, and instructions.'
• Add explicit error handling. Catch httpx.HTTPStatusError and return structured errors: {error: 'API unavailable', retryable: true, guidance: 'The NWS API is temporarily unavailable. Try again in 30 seconds.'}. Return {error: 'Invalid state code', retryable: false, guidance: 'State must be 2-letter code (CA, TX, etc.). Did you mean: CA?'}
• Add result limits and pagination to get_alerts. Accept optional limit (default 10, max 50) and offset parameters. Return {alerts: [...], total: number, limit: 10, offset: 0} so agents can paginate large result sets.
• Add tool annotations to JSON Schema. Mark both tools with readOnlyHint: true in the schema. This signals to LLMs that these are safe, non-destructive calls that can be retried.