Two tools with basic verb-noun naming (get_alerts, get_forecast). Both have descriptions and input schemas with typed parameters. However, descriptions are minimal (under 100 chars each), lack context on when to use each tool, and do not explain output structure. Parameters have type and description but lack constraints (e.g., state code validation, lat/lon bounds). No output schema documented. Error handling returns plain strings with no recovery guidance. No tool annotations (readOnlyHint present via Risk field but not in schema). Composition is sound (two independent tools), but overall quality is below production baseline.
Get weather alerts for a US state. Args: state: Two-letter US state code (e.g. CA, NY)
Get weather forecast for a location. Args: latitude: Latitude of the location longitude: Longitude of the location
Descriptions lack context and recovery guidance. Both tools return plain strings with no structured output schema. LLMs cannot parse results reliably or chain to downstream tools.
No input validation or constraint documentation. 'state' parameter accepts any string; no enum or pattern. Latitude/longitude lack bounds (±90, ±180). LLMs will pass invalid values.
Error responses are unstructured strings with no recovery guidance. 'Unable to fetch alerts' gives LLM no actionable next step. Should indicate retry vs. user-fixable vs. fatal.
Output schema not documented. Agents cannot plan downstream operations or extract structured data. Returning plain text instead of JSON objects wastes tokens and invites parsing errors.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 47 | 2026-07-28+ | v2 |
No tool annotations in schema. Risk field in metadata indicates READ_ONLY but not exposed via readOnlyHint in input schema. Agents cannot infer safety properties.