Single tool 'wait_seconds' with adequate but minimal definition. Tool has clear verb-noun naming and proper schema with type information. However, description is extremely brief (43 chars), barely meeting the 10-char minimum. No parameter descriptions beyond the schema type. No output schema documented. Tool does one simple thing well but lacks the depth and LLM-optimization expected of production tools. The trivial nature of the tool (sleep) means many quality patterns (error recovery, composition, output shaping) don't apply, but the underdocumented parameters and missing output schema are gaps even for this simple case.
Wait for a specified number of seconds
Tool description is minimal (43 chars) and lacks context. Should explain when/why an agent would call this tool, not just what it does.
Input parameter 'seconds' has no description in the tool definition. Only the JSON Schema type is present. LLMs benefit from explicit parameter descriptions explaining valid ranges, formats, and use cases.
No documented output schema. While code shows return of TextContent with text field, agents cannot see the expected response structure without inline documentation.
Parameter 'seconds' has no constraints (minimum, maximum). Agents could pass negative or extremely large values. Should declare valid range (e.g., 0-3600).
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 49 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 35 | - | v1 |