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Single tool 'get_weather' has a clear verb-noun name and basic schema with enum constraint on 'unit' parameter. However, the description is minimal (34 chars, below the 50-200 char LLM-optimized range), and parameter descriptions are present but terse. No output schema is documented, the response structure is inferred from code only. Error handling is absent; the mock implementation never fails, so agents cannot learn recovery paths. The tool is READ_ONLY and idempotent, which is good, but lacks the depth expected for production use.
Get current weather for a location
Tool description is 34 characters, below the 50-200 char LLM-optimized range. 'Get current weather for a location' lacks context on when to use it, what it returns, or any prerequisites.
Output schema is not documented. The response structure (location, temperature, unit, conditions) is visible only in the implementation code, not in the tool definition. LLMs cannot plan downstream calls or extract fields reliably.
No error handling or recovery guidance. The mock implementation never fails, so agents cannot learn what to do if a location is invalid or the service is unavailable.
Parameter descriptions are terse. 'City name' and 'Temperature unit' lack format hints, constraints, or examples. The 'unit' enum is declared but not explained in the description text.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 54 | 2026-07-28+ | v2 |
No pagination or result limits documented. While the single-value response is simple, the tool description should clarify what happens if a location is ambiguous (e.g., 'Springfield' exists in multiple states).