Two simple tools with basic schemas and minimal descriptions. Both tools have input schemas with proper types, but descriptions are terse (under 100 chars) and lack context on when/why to use them. No parameter descriptions provided, LLMs cannot infer what 'text' or 'value' mean without additional guidance. No output schema documented. Error handling is present but generic ('toml failed: ...'). Tools follow verb_noun naming (to_json, to_toml) but descriptions don't explain prerequisites, return format, or error recovery paths.
Parse TOML and return the JSON-compatible value.
Serialize a JSON object (top-level table) to TOML. Arrays-of-objects become `[[table]]` arrays.
Parameter descriptions missing. 'text' and 'value' parameters have no descriptions explaining what format they expect, constraints, or examples.
Output schema not documented. Tool descriptions do not specify what fields/structure the response contains, forcing LLMs to guess.
Tool descriptions too brief (35-40 chars). Lack context on when to use each tool, what happens on error, and how results are formatted.
Error messages are generic ('toml failed: ...'). Do not guide LLM on recovery or indicate whether error is retryable.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 47 | 2026-07-28+ | v2 |
to_toml rejects non-object top-level values with a validation error, but this constraint is not documented in the parameter description.