Single tool 'get_greet' has a complete input schema with proper type and description for the greet_language parameter. However, the tool description is minimal (11 words, 56 chars) and lacks context about when to use it, what it returns, or any prerequisites. No output schema is documented, the response structure is inferred from code but not formally declared. Parameter description is adequate but generic. The tool performs a simple, read-only operation with no error recovery guidance. Overall, this is a basic, functional definition that lacks the depth and LLM-optimization expected of production tools.

• Expand tool description to 100 - 200 chars. Example: 'Returns a time-of-day greeting (morning/afternoon/evening) in the specified language. Supports ja (Japanese) and en (English); other codes default to English. Call this to greet users with context-aware messages.'
• Add formal output schema documentation: 'Returns {content: [{type: "text", text: string}], isError: boolean}. The text field contains the greeting string.'
• Convert greet_language parameter to an enum: {"type": "string", "enum": ["ja", "en"], "description": "Language code: ja for Japanese, en for English."}
• Document error behavior: 'If greet_language is not ja or en, defaults to English. No error is raised; the tool always succeeds.'
• Consider renaming to 'get_time_based_greeting' for clarity, or add to description: 'The greeting changes based on the current hour: morning (5 - 12), afternoon (12 - 17), evening (17 - 5).'