The server contains a single tool 'generate_joke' with critical definition gaps. The tool has a description but it is generic and under-optimized for LLM selection. The input schema is completely empty (no parameters), which is acceptable for a truly parameter-less tool, but the tool itself lacks depth. The description ('This tool generate jokes. Use this tool to generate a joke when ever user is asking for a joke.') is 145 characters and present, but contains grammatical errors and lacks specificity about output format, idempotence guarantees, or when to prefer this tool over alternatives. There is no documented output schema, the function returns a string, but the LLM has no formal documentation of what that string contains or how to use it. The tool does not follow verb-noun naming convention ('generate_joke' is acceptable but could be 'create_joke' or 'get_joke_random' for clarity). Security and error handling are minimal, there is no rate limiting, no error classification, and no recovery guidance. The tool is simple enough that most issues are low-severity, but the lack of formal schema documentation and weak description hurt discoverability and agentic planning.

• Add formal output schema documentation. Define the return value as a structured object: { 'joke': string, 'category': string, 'language': string } or document that it is a plain string and what format (plaintext, markdown, etc.).
• Rewrite description to be LLM-optimized (50-200 chars). Example: 'Generates a random joke. Returns plaintext. Best for: lightening the mood, entertaining users. Each call produces a different joke.'
• Fix grammatical errors in description ('generate' → 'generates', 'when ever' → 'whenever').
• Add explicit idempotence note: 'Each call returns a different randomly-selected joke. Not idempotent.'
• Consider adding an optional parameter like 'category' (with enum: ['dad_joke', 'tech', 'pun', 'one_liner']) to give agents control over joke type.
• Add error handling: if the joke generation fails, return a structured error response with guidance, not just a stack trace.