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

No annotations are provided, so the description must convey behavioral traits. It adds that 'We actively read every piece of feedback,' which is non-obvious, but does not explain persistence, side effects, or response behavior.

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 three sentences and front-loaded with the action. The final sentence is slightly redundant with the second, but overall it is compact and clear.

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?

For a simple feedback tool with no output schema and full parameter descriptions, the description adequately explains the purpose and content guidance. It lacks information about return values, but this is not critical for this tool.

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?

The schema covers all six parameters with descriptions, so the baseline is 3. The description reinforces the 'user_happy' concept and mentions 'what's missing' which aligns with the 'message' parameter, but it does not add significant new meaning beyond the schema.

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 opens with 'Submit feedback about the Cars Rootz service,' using a specific verb and resource. It clearly distinguishes this from sibling tools like cars_search or cars_session_create by focusing on feedback submission.

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?

It explains the tool's purpose (submitting feedback) and encourages the agent to describe what worked, what didn't, and user happiness. However, it does not explicitly state when to use it over alternatives or include any exclusions.

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