Three tools with complete input schemas and descriptions, but descriptions are in Russian and lack LLM-optimized structure. Tool names follow verb_noun pattern (current_weather, forecast, locate). Schemas properly typed with string/integer. However, descriptions are terse (avg 60 chars) and lack actionable context for LLM selection. Error handling returns user-friendly text but lacks recovery guidance. No output schema documentation. Parameter descriptions are minimal. Security is solid (no secrets exposed, input sanitization present), but composition could be improved, locate() duplicates find_place logic from other tools.

• Expand tool descriptions to 100-200 chars. For current_weather: 'Get current temperature, humidity, wind speed, and weather condition for a city. Use this for immediate weather queries. Returns formatted text with temperature in Celsius and feels-like value.'
• Document output schemas explicitly. Define that current_weather returns a string with fields: location, description, temperature, feels_like, humidity, wind_speed. Consider returning structured JSON instead of formatted strings.
• Rename locate() to find_place() or search_location() to clarify intent. Current name is ambiguous; verb_noun pattern improves LLM understanding.
• Add explicit range constraints to parameter descriptions. For forecast days param: 'Number of days (1-7; values outside range are clamped to boundaries, not treated as errors).'
• Enhance error messages with recovery guidance. Instead of 'Не удалось получить прогноз: ...', return 'City not found. Try search_location() with a partial name, or check spelling.' Categorize errors as retryable (network) vs user-fixable (invalid city).