Single tool with adequate schema and clear description, but lacks proper composition patterns and error handling guidance. Tool name does not follow verb_noun convention (should be 'greet_user' or 'send_greeting'). Description is present but generic. Input schema is visible with type definitions and enum constraint, but output schema is not documented. No error handling patterns, no idempotency guarantees, no recovery guidance. This is a template/example tool, not production-grade.

• Rename tool from 'hello-world' to 'greet_user' to follow verb_noun convention and clarify the action to the LLM.
• Add documented output schema: e.g., { greeting: string, language: string, timestamp: string }. This enables the LLM to extract and forward the greeting in downstream operations.
• Expand tool description to ~100-150 characters explaining WHEN to use it: 'Generate a personalized greeting for a user in their preferred language. Use this to welcome new users, start conversations, or provide localized responses.'
• Add validation constraints to the 'name' parameter in the description: 'User's name (1-100 characters, letters and spaces only). Will be used in the greeting text.'
• Add error handling guidance to the description: 'If the language is not supported (en, ko, es, fr), the tool will default to English and return a fallback message indicating the language limitation.'
• Consider adding an 'idempotent' annotation to the tool definition if deployed via MCP, since repeated calls with the same inputs produce the same output.
• If this tool is part of a larger conversation flow, document downstream tools that consume the greeting output (e.g., send_message, log_interaction).