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

The annotations already state readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the behavioral guidance that the conversation array should be included for reproduction, but it does not explain response behavior, whether the report triggers side effects, or how the submission is processed. It does not contradict the 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 clear sentence that concisely conveys the primary purpose and key usage note. It could be slightly expanded to resolve parameter ambiguity, but there is no wasted text or irrelevant detail.

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?

The tool is relatively simple and the description covers the core purpose and one important usage detail. However, since the schema does not describe any parameters and there is no output schema, the description alone leaves the user uncertain about the meaning of 'context' and what the response (if any) will be. The annotations also fail to describe safety or auth requirements, so additional context would improve completeness.

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 for all parameters, but it only addresses the 'conversation' parameter explicitly via 'Include the conversation array with recent messages for reproduction.' The 'message' and 'context' parameters receive no direct explanation, leaving meaningful ambiguity about how to use them correctly.

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 function with an explicit verb 'Report' and lists the accepted categories: 'bug, missing feature, or send feedback.' It is distinct from sibling tools such as authenticate, connect, or sefaz_certidao_debitos_consultar, all of which 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?

The description implies the intended use cases (bug reports, feature requests, feedback) and gives direct instruction on what to include: 'the conversation array with recent messages for reproduction.' It does not explicitly exclude alternative tools, but the scoped list of use cases provides clear context for when this tool should be selected.

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