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

The description extensively discloses behavioral traits beyond annotations: it creates billable AI usage, executes synchronously, has specific mutation modes (validate_only, preview_only, execute), and a partial failure policy. It also explains idempotency behavior and response handling, adding significant value beyond the sparse annotations.

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 front-loaded with the purpose but then becomes lengthy with meta-instructions about classification, execution, response formatting, and idempotency. While the information is valuable, it is not concise and could be better structured or trimmed to focus on core usage.

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 (8 parameters, nested object, output schema), the description covers the tool's purpose, mutation modes, and workflow context. The presence of an output schema relieves the need to explain returns. However, it lacks parameter-level detail that would further complete the picture.

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 0%, and the description does not explain any parameters such as brand, format, objective, or creative. It entirely fails to compensate for the lack of parameter documentation, leaving the agent without guidance on how to fill the required fields.

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 performs QA on a creative, producing actionable issues, certification evidence, and next steps. It is specific about the resource (creative) and the action (QA for launch readiness), but does not differentiate from sibling tools like leanriq_qa_creative or validate_flight.

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 on when to use the tool: 'before preview, revision, or trafficking.' This implies a workflow position but does not explicitly mention alternatives or exclusions. The context is present but not compared against other tools.

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