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

Annotations already provide readOnlyHint=false, destructiveHint=false, openWorldHint=true. The description adds 'Public API preview', indicating instability, and 'Default count 8', which is a behavioral default. No contradiction, but little additional behavioral context beyond 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 very concise with three short segments. It is front-loaded with purpose. However, it could be slightly longer to cover more behavioral context without becoming verbose.

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?

With 7 parameters, 1 required, no output schema, and open-world annotations, the description lacks completeness. It does not explain return values, failure modes, or how parameters interact. 'Brand-aware track' is left undefined.

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 57%, but the description adds no parameter-level information. It merely restates the default count which is already in the schema. For parameters like 'steer', 'brand_id', and 'workspace_id', the description provides no extra meaning.

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 generates brand-aware interview questions with a specific verb and resource. It distinguishes itself from sibling CRUD tools by being a generation endpoint. The default count and HTTP method are included.

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?

No guidance on when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or specific contexts beyond the name. The agent must infer usage from the name alone.

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