Three tools with basic schemas and descriptions, but significant gaps in parameter documentation and output structure. Tool names follow verb_noun convention (get_alerts, get_forecast, hello). Descriptions exist but are minimal (10-60 chars, below the 50-200 char LLM-optimized baseline). Input schemas present with type info but lack parameter descriptions for critical fields like 'state' and 'latitude'/'longitude'. No output schemas documented. Error handling returns plain strings with no recovery guidance. No tool annotations (readOnlyHint, etc.). Composition is reasonable, each tool has one responsibility, but parameter naming could be more explicit (e.g., 'state' should clarify it expects a two-letter US state code, not a full state name).
Get weather alerts for a US state (e.g. 'CA', 'NY').
Get weather forecast for a location.
Say hello to someone.
Parameter descriptions missing or incomplete. 'state' parameter lacks guidance on format (two-letter code); 'latitude'/'longitude' lack range constraints or examples. LLMs cannot infer valid input ranges.
Tool descriptions are too brief (10-60 chars vs. 50-200 char baseline). 'Get weather alerts for a US state' lacks context on when to use this vs. get_forecast, what the output contains, or prerequisites.
No output schemas documented. Callers cannot predict response structure (string vs. structured object). Downstream tools cannot chain on these results.
Error handling returns plain strings ('Unable to fetch alerts or no alerts found') with no recovery guidance. LLMs cannot determine if the error is retryable, user-fixable, or fatal.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 50 | 2026-07-28+ | v2 |
No tool annotations (readOnlyHint, destructiveHint, idempotentHint). All three tools are read-only but this is not declared in the schema, forcing LLMs to infer safety from descriptions.