This server has 2 tools with basic definitions and schemas visible in the source code. Both tools have descriptions and input schemas with typed parameters, meeting baseline requirements. However, the descriptions are extremely brief (under 50 chars), parameter descriptions lack depth, output schemas are undocumented, and there is no error handling guidance. The server follows a simple demo pattern but falls short of production quality. Naming is acceptable (get_random_number, get_city_weather both use verb_noun pattern), but descriptions provide minimal actionable context for LLM tool selection.

• Expand tool descriptions to 100-200 characters. Example: 'get_random_number: Generates a random integer within the specified range (min inclusive, max exclusive). Use this to pick random selections, generate test data, or simulate probabilistic choices. If min >= max, returns an error with corrected constraints.'
• Document output schemas explicitly. For get_random_number, declare that it returns an integer between min and max-1. For get_city_weather, document that it returns a single string describing the weather (e.g., 'The weather in London is balmy.').
• Add error recovery guidance to parameter descriptions. Example for get_random_number: 'Minimum value (inclusive, must be < max; if invalid, call again with corrected values).'
• Document the WEATHER_CHOICES environment variable in the get_city_weather description: 'Returns randomly selected weather from WEATHER_CHOICES env var (comma-separated: balmy,rainy,stormy,etc.) or defaults to balmy,rainy,stormy if not set.'
• Add constraints to the city parameter in get_city_weather. Example: 'City name as a string (1-100 chars, any case accepted).'
• Consider adding a tool description that explains when to call get_random_number vs get_city_weather (they serve different purposes, but make this clear so LLMs don't attempt confusion).
• Implement input validation and return structured error messages. Instead of silently handling invalid inputs or returning null, return: { error: 'Invalid min/max', message: 'min must be less than max', suggestion: 'Try min=0, max=100' }

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry