Two tools with basic verb-noun naming (get_alerts, get_forecast). Both have short descriptions (34-40 chars, below the 50-200 char baseline for LLM-optimized descriptions). Input schemas are present with type definitions and parameter descriptions, meeting minimum requirements. However, output schemas are completely undocumented, tools return free-form strings with no structured field definitions. No error handling guidance, no pagination support, no output field documentation. No tool annotations (readOnlyHint, etc.). Composition is reasonable (two distinct concerns), but descriptions lack context on when to use each tool or what to expect in responses.

• Expand tool descriptions to 80-150 characters. Include WHAT the tool does, WHEN to use it (e.g., 'Call this to check for active severe weather warnings'), and WHAT to expect (e.g., 'Returns a list of active alerts with event type, severity, and instructions'). Reference pattern:tool-description.
• Document output schemas explicitly. Define structured return types with typed fields: get_alerts should return {alerts: [{event, area, severity, description, instructions}], count, state} instead of free-form strings. Reference pattern:tool.
• Add error handling guidance. Replace 'Unable to fetch alerts' with 'No alerts found for this state. If you expected alerts, verify the state code is valid (e.g., CA, NY) or try a different state.' Reference pattern:recovery-guide.
• Add pagination to get_alerts. Accept optional limit (default 20, max 100) and offset parameters. Return total count and next_offset. Reference pattern:paginated-result.
• Add tool annotations. Mark both tools with readOnlyHint=true since they only read data. This signals to agents that calls are safe to retry. Reference pattern:tool.