Two tools with basic schemas and descriptions, but significant quality gaps. Tool names follow verb_noun pattern (get_*), which is good. However, descriptions are terse (avg 65 chars, well below the 194-char baseline), lack context on WHEN to use each tool, and contain a typo ('detais'). Parameter descriptions are minimal (avg 30 chars vs 72-char baseline). No output schema documentation. No error handling guidance. No pagination support despite tools returning lists. Schemas are present but sparse, only type and description, no constraints, enums, or validation rules. No tool annotations (readOnlyHint, etc.). Overall structure is functional but falls short of production quality.

• Expand tool descriptions to 150 - 250 chars. Example: 'get_city_details: Retrieves comprehensive details (population, coordinates, region) for a specific city. Requires ISO 3166-1 alpha-2 country code and exact city name. Returns null if city not found, use get_cities_in_country to discover valid city names first.'
• Document output schemas explicitly. For get_city_details, specify: 'Returns {City, Country, AccentCity, Region, Population, Latitude, Longitude} or null if not found.' For get_cities_in_country, specify: 'Returns array of city name strings, e.g., ["Lisbon", "Porto", "Faro"].'
• Enhance parameter descriptions with format constraints. Change 'The country code in 2 letter' to 'ISO 3166-1 alpha-2 country code (2 uppercase letters, e.g., PT, US, FR).' Change 'The city name' to 'Exact city name (case-insensitive, accents optional, e.g., Faro or Farö).'
• Add error handling guidance. Document: 'If city not found, returns null, call get_cities_in_country(country_code) to list valid cities. If country_code is invalid, returns empty list, verify code against ISO 3166-1 standard.'
• Add pagination to get_cities_in_country. Accept optional limit (default 50, max 500) and offset params. Return {cities: [...], total: N, offset: M} to enable LLM to iterate over large result sets without context explosion.