Two tools with basic schemas and minimal descriptions. Both tools have proper type definitions (double, string) and parameter descriptions, meeting baseline schema requirements. However, descriptions are extremely brief (under 100 chars each), lacking context on WHEN to use each tool, dependencies, or return value structure. No output schemas documented. No error handling guidance. Tool names follow verb_noun pattern correctly. Missing composition guidance, unclear how these tools relate or chain together. No pagination, no result limits documented despite weather alerts potentially returning large datasets.

• Expand tool descriptions to 150-250 characters. Include: what data is returned, when to call this tool vs the other, and any prerequisites. Example: 'Get weather forecast for a specific location (latitude/longitude). Returns temperature, precipitation, wind speed, and alerts for the next 7 days. Use this for point-location queries; use getAlerts for state-wide alert summaries.'
• Document output schemas for both tools. Specify returned fields (e.g., forecast returns: timestamp, temperature, humidity, wind_speed, precipitation_chance, alerts[]).
• Add pagination to getAlerts: accept limit (1-100, default 20) and offset parameters. Return total_count and next_offset. Document in description: 'Returns up to 20 alerts per call; use offset for pagination.'
• Add error handling guidance in descriptions. Example: 'Returns 400 if latitude/longitude out of range (-90 to 90, -180 to 180). Returns 404 if no data available for location. Returns 503 if weather service unavailable, retry after 60 seconds.'
• Clarify composition: add a note in each tool description explaining when to use both together. Example in getWeatherForecastByLocation: 'For state-wide alerts, call getAlerts(state) instead. For location-specific alerts, this tool includes them in the forecast response.'