Both tools have minimal descriptions (10-20 chars, below the 20-char floor) and empty input schemas. Naming is acceptable (verb_noun pattern), but descriptions lack context for LLM selection. No parameter documentation, no output schema documentation, no error handling guidance. This server falls well below production baseline (194 chars avg description, 100% of A+ tools have param descriptions).

• Expand tool descriptions to 50-200 chars. Example: 'get_office_jokes: Retrieves a random office-themed joke to lighten the mood. Use when the user asks for humor or wants a break. Returns a single joke string.' This tells LLM WHAT, WHEN, and WHAT to expect.
• Document output schemas explicitly. Add to docstring: 'Returns: str, a single joke or date string. No structured fields.' This prevents LLM from expecting JSON objects.
• Add error handling with recovery hints. Wrap datetime.today() in try/except and return: 'Error: Could not retrieve system date. Ensure system clock is synchronized. Retry in 5 seconds.' instead of a bare exception.
• If tools will be extended, design for composition. E.g., if get_current_date is used by downstream tools, return ISO 8601 format explicitly and document it in the description.
• Add per-tool docstring examples showing expected output format. E.g., 'Example output: "Why don't scientists trust atoms? Because they make up everything!"' helps LLMs understand the response structure.