Weather forecast and current weather information for Argentine locations using the SMN (Servicio Meteorológico Nacional) API
Both tools have minimal descriptions (under 100 chars) and identical single-parameter schemas with no type constraints. Naming is acceptable (verb_noun pattern), but parameter descriptions are trivial ('Name of the city'). No output schema documentation, no error guidance, no pagination support despite potentially returning multiple results. Tools return unstructured strings rather than structured JSON. No input validation, no enum constraints, no format specifications. Error handling is present but returns bare strings without recovery guidance.
Get weather forecast for a argentinian location.
Get weather information for a specific argentinian city.
No output schema documented. Both tools return unstructured strings; LLMs cannot parse structured data or chain results to downstream tools.
Parameter descriptions are trivial ('Name of the city'). No format constraints, no examples of valid city names, no guidance on case sensitivity or partial matching.
Tool descriptions are under 100 chars and lack context. No explanation of when to use get_forecast vs get_weather, what data each returns, or prerequisites (e.g., 'Argentine cities only').
Error responses are bare strings ('Unable to fetch weather data', 'City not found') with no recovery guidance. LLMs cannot determine if the error is retryable or what to do next.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 45 | 2026-07-28+ | v2 |
No pagination support. get_forecast loops internally over 5 days but returns all results concatenated as a single string. Large result sets will waste tokens and risk context window exhaustion.