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Single tool with minimal definition quality. Tool name 'fetch_weather' is acceptable (verb_noun pattern), but description is vague (18 chars, below 20-char threshold). Input schema present with basic type but lacks constraints, ranges, or format guidance. No output schema documented. No error handling guidance. No parameter validation rules. Tool lacks idempotency hints, rate-limit guidance, or recovery paths. Missing descriptions for what the tool returns and when to use it vs alternatives.
This tool fetch weather data from any place
Tool description is too short (18 chars) and lacks context. Does not explain WHAT the tool returns, WHEN to use it, or any prerequisites. LLMs cannot determine selection criteria.
No output schema documented. LLMs cannot plan downstream calls or extract required fields (e.g., temperature, humidity, forecast). Responses are unstructured JSON blobs.
Input parameter 'city' lacks constraints. No guidance on format (e.g., 'New York' vs 'new york'), length limits, or handling of multi-word cities. No enum or pattern validation.
Error handling writes to stderr but does not return structured error responses to the LLM. Errors like 'Data not found' are generic and do not guide recovery (e.g., 'Try a different city name or check spelling').
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 35 | <=2025-11-25 | v2 |
No rate-limit, timeout, or idempotency guidance. External API calls (geocoding, forecast) may fail or hang; no retry strategy documented. Tool is not marked as read-only in schema despite READ_ONLY risk classification.