test_translate

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it produces a specific output format ('plain language' with coverage details, failure explanations, and manual verification needs), generates a time-bound deliverable ('15-minute manual test script'), and implies transformation of technical input into non-technical output. It doesn't mention error handling, rate limits, or authentication needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is perfectly front-loaded with the core purpose in the first sentence, followed by specific output details. Every sentence earns its place by adding distinct value: purpose, audience, output components, and deliverable specification. No wasted words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 2 parameters with 100% schema coverage and no output schema, the description provides good contextual completeness for a transformation tool. It clearly explains what the tool produces and for whom, though it could benefit from mentioning error cases or what happens when test_output is empty beyond the schema's note about Callout prompting.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description doesn't add meaningful semantic context beyond what's in the schema descriptions - it mentions 'test results' which aligns with 'test_output' but provides no additional parameter guidance. Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('translate test results into plain language'), the target resource ('test results'), and the intended audience ('non-technical founder'). It distinguishes from sibling tools by focusing on test result interpretation rather than general help, coaching, or task management functions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool ('translate test results into plain language' for 'non-technical founder'), but doesn't explicitly state when not to use it or name specific alternatives among the sibling tools. The guidance is sufficient to understand the primary use case but lacks explicit exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.