Single tool 'example' has critical definition gaps. While the tool is explicitly registered with a name and basic description via PHP attributes, the definition falls far short of production standards. Description is only 52 characters ('An example tool showing basic functionality'), lacks context about when to use the tool and what it returns. Input schema is present but minimal, only one parameter 'input' of type string with a 10-character description ('Text to echo back'), providing almost no guidance to an LLM about expected format, length constraints, or valid ranges. Output schema is not documented anywhere in the tool definition or code, the test shows it returns a text field with 'You said: {input}' but this is inferred from test code, not formally documented in the tool schema. No error handling guidance, no recovery instructions, and no mention of side effects (though the tool is READ_ONLY). The tool name 'example' is generic and violates the verb_noun pattern, a production tool should be named after its actual function (e.g., 'echo_text' or 'process_input'). Tool is clearly a placeholder/template rather than a real production service. Parameter descriptions are far below the baseline of 72 characters. Overall composition is sound (does one thing), but definition quality is severely compromised.

• Rename 'example' to an action-oriented name: 'echo_text' or 'process_input'. Follow verb_noun pattern so LLMs infer intent from the name.
• Expand tool description to 150-250 characters: explain what it does, when to call it, and what it returns. Example: 'Echoes back the provided text unchanged. Use this to test text processing workflows or validate input handling. Returns the input prefixed with "You said: ". Useful for debugging agent text-handling logic.'
• Expand parameter description to 50-100 characters. Specify constraints: 'Input text to echo back (1-1000 characters, UTF-8, no null bytes). Typically used for testing or validation of text content.'
• Document output schema explicitly in the tool definition. Specify: 'Returns an array with one object: {type: "text" (string), text: "You said: <input>" (string)}. The type field indicates content type; text contains the echoed result.'
• Add error handling documentation: 'If input parameter is missing, returns error "Missing required parameter: input". If input exceeds 1000 characters, returns error "Input too long: maximum 1000 characters, got NNN". Provide the constraint in the error message so the agent can truncate and retry.'
• Consider whether this tool serves a real use case or is purely a template. If template, document it as such and provide an example of how to extend it with a real tool. If production, replace with actual functionality.