Single tool 'hello_world' has minimal definition quality. Description is present but extremely brief (27 chars, below 20-char hard floor). Input schema exists with proper type and description for the 'name' parameter, but overall tool definition lacks depth. No output schema documented. No error handling guidance. Tool does not follow verb_noun pattern strongly (hello_world is acceptable but generic). This is a starter/demo server with toy-level tool definitions.

• Expand tool description to 50 - 150 characters explaining: what the tool does, when to use it, and what it returns. Example: 'Greet a user by name. Returns a personalized greeting string. Use this to acknowledge user input or start a conversation.'
• Document the output schema explicitly. Add a return type annotation and description: 'Returns: str, a greeting message in the format "Hello, {name}!"'
• Add error handling guidance. If the name parameter is empty or invalid, describe the expected behavior and recovery: 'If name is empty, defaults to "World". If name contains special characters, they are included as-is in the greeting.'
• Rename tool to 'greet_user' to follow verb_noun pattern and signal intent more clearly to LLMs.
• Update the scaffolder template (create_server.py) to generate tools with proper descriptions, output schemas, and error handling examples so new servers start with better patterns.