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

Annotations indicate idempotentHint=true Board-check, which is consistent with a reporting tool. The description suggests including conversation for reproduction, which adds behavioral context. However, it does not disclose any side effects (e.g., whether the feedback is stored, sent, or acknowledged), but the annotations already cover safety (non-destructive, non-read-only). The description adds moderate value 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 a single sentence, concise and front-loaded with the main purpose. It includes a key instruction about including conversation for reproduction. It is efficient and free of fluff.

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 simple nature of the tool (3 params, no output schema), the description provides adequate guidance for the primary use. However, it lacks explicit instructions for the 'context' parameter and does not specify the expected response format, which might be important. It is minimally complete but has gaps in parameter coverage.

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%, so the description must compensate. The description explicitly mentions 'message' (required) and 'conversation' (for reproduction), but does not clarify the 'context' parameter. The description adds meaning for two of the three parameters, but 'context' remains undocumented, which is a minor gap given the higher baseline for zero 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's purpose: reporting bugs, missing features, or sending feedback. It specifies the action (report) and the resource (bug/feature/feedback), which distinguishes it from sibling tools like 'marketplace' or 'detran_ce_multas_consultar' that serve different purposes.

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 explicit guidance on when to use this tool versus alternatives. While the purpose is clear, there is no mention of when not to use it, or alternatives for specific types of feedback. The sibling tools do not offer obvious alternatives, so some implicit context exists, but explicit guidelines are missing.

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