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Single tool 'dice_roll' has a valid schema with proper type constraints (min/max), but critical gaps in description quality and parameter documentation. Tool description is in Japanese (non-standard for LLM-optimized English tooling) and lacks context on when/why to use it. Parameter description is minimal (8 chars: 'サイコロの面の数'). No output schema documented. No error handling guidance. Naming is acceptable (verb_noun pattern) but the overall definition falls short of production standards.
サイコロを振った結果を返します
Tool description is in Japanese and lacks LLM-optimized English context. Non-English descriptions reduce discoverability and reasoning quality for English-language LLMs.
Parameter description 'サイコロの面の数' (8 chars) is too brief and non-English. Should explain expected range, use cases, and constraints in English: e.g., 'Number of sides on the die (1-100). Common values: 6 (standard die), 20 (d20), 100 (percentile).'
Output schema not documented. Tool returns text content but LLMs cannot infer the structure. Should document: returns {type: 'text', content: string (integer 1-sides)}.
No error handling or validation guidance. What happens if sides=0, sides=101, or sides is negative? Tool should validate and return actionable error messages.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 56 | 2026-07-28+ | v2 |
Tool is trivial (random number generator) with no real-world utility. Lacks context on when an LLM should invoke this vs. other tools. Consider whether this is a demo or production tool.