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10 tools with complete schemas and basic descriptions. Naming follows verb_noun convention (create_, list_, read_, update_, delete_). Descriptions are present but generic (avg 60 chars, below 194-char baseline). No parameter descriptions visible in schemas, critical gap. No output schemas documented. Error handling and recovery guidance absent. Schemas are well-formed JSON Schema with types and required fields, but lack parameter-level descriptions that LLMs need to understand constraints and dependencies.
Create a new category with the given details
Create a new product with the given details
Delete a category by ID
Delete a product by ID
Retrieve all categories with pagination
Retrieve all products with optional filtering by category and stock status
Get a specific category by ID
No parameter descriptions in any tool schema. LLMs cannot infer what 'skip', 'limit', 'category_id', 'in_stock' mean or what constraints apply. Rubric requires every parameter to have a description.
No output schemas documented. LLMs do not know what fields to expect from responses (e.g., does list_categories return 'id', 'name', 'description', 'created_at'?). Breaks downstream tool chaining.
Destructive tools (delete_category, delete_product) lack confirmation or dry-run support. No error recovery guidance. Agents can delete data without safeguards.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 48 | <=2025-11-25 | v2 |
Get a specific product by ID
Update a category with the given details
Update a product with the given details
Tool descriptions are generic and under 20 chars for destructive operations. 'Delete a category by ID' does not explain when to use it, what happens to related products, or recovery options.
No error handling or recovery guidance visible. Tools do not document what happens on invalid IDs, missing required fields, or constraint violations. LLMs have no guidance on retry or fallback.