run_ai_api_pentest

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

With no annotations, the description should fully disclose behavioral traits. It mentions 'authorized' and a workflow but does not explain side effects (e.g., potential damage, data modification, rate limits). The description is too generic about the workflow steps.

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 a single sentence of 20 words, making it concise. However, it lists jargon (scope, recon, campaign execution) without explanation, slightly reducing clarity.

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 the complexity (14 parameters, no output schema, no annotations), the description is incomplete. It does not explain what the tool returns, how to configure the workflow, or specify prerequisites beyond authorization.

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 only 7% (only 'authorized' has description). The tool description adds no semantic detail for the 14 parameters, such as pack meaning, method significance, or timeout usage. It fails to compensate for the low schema coverage.

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 tool runs an authorized AI/ML API penetration-test workflow, specifying the verb 'run' and the resource 'penetration-test workflow'. It distinguishes from siblings like 'evaluate_text' or 'run_red_team' by focusing on AI API pentesting with specific artifacts.

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 implies usage for authorized pentesting but lacks explicit when-to-use guidance or comparison to alternatives. The 'authorized' parameter description provides some context, but overall no explicit exclusions or alternative recommendations.

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