Three tools with basic verb-noun naming (get*) and present descriptions, but significant gaps in parameter documentation and output schema clarity. All tools lack parameter descriptions, critical for LLM understanding. No output schemas documented. Descriptions are adequate (100-150 chars) but lack WHEN/WHY guidance. No error handling guidance. No pagination support despite returning potentially large result sets. Tool composition is reasonable (three distinct operations), but parameter naming could be more explicit (placeCode vs place_code convention mismatch).

• Add descriptions to all parameters. Example: placeCode: 'The Lithuanian place code (e.g. "vilnius") to filter results. If omitted, returns all available places.' forecastType: 'The forecast type to retrieve (e.g. "long-term"). Defaults to "long-term" if omitted.'
• Document output schemas for each tool. Specify that getMeteoPlaces returns Place[] with fields {code, name, administrativeDivision, countryCode, coordinates}, and that getMeteoWeatherForecast returns WeatherForecast with {place, forecastType, forecastTimestamps[]}.
• Add pagination to getMeteoPlaces: accept limit (1-100, default 20) and offset (default 0) parameters. Return total count so agents know if more results exist.
• Enhance error handling. Catch API errors and return structured responses: {error: 'Place not found', suggestion: 'Try searching with a partial name or call getMeteoPlaces() to see available places.'}
• Standardize parameter naming to snake_case (place_code, forecast_type) to match production tool conventions and reduce LLM confusion.