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Two tools with minimal descriptions (both under 30 chars) and no parameter descriptions. get_uuid_v4 has empty input schema (no params). get_uuid_v4_list has a single integer param with description, but tool descriptions lack context on when/why to use them. No output schema documentation. No error handling guidance. Naming is clear and verb-prefixed, but descriptions fail the 10 - 1024 char baseline and lack LLM-optimization guidance.
Generate a UUID v4
Generate a list of UUID v4s
Tool descriptions are too short (under 30 chars) and lack context. 'Generate a UUID v4' does not explain when to use this tool, what it returns, or why an agent would call it. LLMs need 50 - 200 char descriptions with WHAT, WHEN, and output hints.
get_uuid_v4 has no input parameters but also no documented output schema. LLMs cannot plan downstream tool calls without knowing the return type (string vs list vs object). Document: 'Returns: string (UUID v4 in standard format, e.g. 550e8400-e29b-41d4-a716-446655440000)'.
get_uuid_v4_list parameter 'count' lacks validation constraints. No min/max specified. LLMs could pass count=1000000, causing memory exhaustion or timeout. Add: 'count (integer, 1 - 1000): Number of UUIDs to generate. Maximum 1000 to prevent resource exhaustion.'
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 42 | 2026-07-28+ | v2 |
No error handling or recovery guidance. If count is negative or non-integer, what happens? LLMs need actionable error messages: 'count must be a positive integer between 1 and 1000' instead of a stack trace.
No output schema documentation. LLMs cannot infer whether get_uuid_v4_list returns list[str] or list[dict]. Document return type explicitly in tool description or via structured output annotation.