Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
Four basic arithmetic tools with complete input schemas and minimal descriptions. All tools have proper JSON Schema definitions with required fields and type constraints. However, descriptions are extremely terse (10-27 chars), parameter descriptions are entirely absent, and output schemas are undocumented. No error handling guidance, no parameter constraints beyond type, and no indication of idempotency or side effects. The divide tool has a runtime check for division by zero but no description of this constraint. Tools follow verb_noun naming (add, subtract, multiply, divide) which is correct, but descriptions lack context about when to use each tool or what they return.
Add two numbers.
Divide a by b.
Multiply two numbers.
Subtract b from a.
Parameter descriptions completely missing. Schema defines 'a' and 'b' as numbers but provides no context about what they represent, valid ranges, or constraints.
Tool descriptions are under 30 characters and lack context. 'Add two numbers.' does not explain when to use this tool vs others, what it returns, or any prerequisites. Baseline for A+ tools is 50-200 chars.
Output schema is undocumented. Tools return {content: [{type: 'text', text: String(result)}], structuredContent: {result}} but LLMs have no schema to understand this structure or extract the numeric result.
Inferred effective spec: 2025-06-18+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | C | 60 | 2025-06-18+ | v2 |
Division by zero error is handled at runtime but not documented in the tool description. LLMs cannot anticipate this constraint and will not know to avoid b=0 without explicit guidance.
No indication of idempotency or side effects. All four tools are read-only and idempotent, but this is not declared via toolAnnotations (idempotentHint) or descriptions.