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

Annotations are provided (readOnlyHint=false, destructiveHint=false, idempotentHint=true) which already indicate this is a non-destructive side-effectful operation. The description adds a behavioral note about including the conversation array for reproduction, which is useful context. However, it does not describe what happens after submission (e.g., confirmation, data handling) or any auth constraints, so it only partially exceeds annotation coverage.

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 extremely concise—two sentences. The first sentence states the purpose, and the second gives a specific usage tip about including the conversation array. There is no redundancy or filler, and it is front-loaded with the primary verb and subject.

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 simplicity of the tool (3 parameters, no output schema, no nested objects), the description covers the core purpose and a key usage hint. However, it omits expectations about the return value (e.g., confirmation message) or any error handling details. With no output schema, the description could have added such context, making it slightly incomplete but acceptable for a feedback 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?

Schema description coverage is 0%, so the description must compensate. It adds meaning to 'conversation' by specifying it should contain recent messages for reproduction, which is valuable. However, it does not clarify 'context' or elaborate on 'message' beyond the schema's obvious definition. Since one of three parameters is given context, it is a partial compensation but not comprehensive.

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: report a bug, missing feature, or send feedback. It uses a specific verb (report/send) and resource (bug/feature/feedback), and distinguishes it from unrelated siblings like authenticate or sintegra_ro_consultar. The additional instruction about including the conversation array adds specificity.

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 some guidance by instructing to include the conversation array for reproduction, but it does not explicitly state when to use this tool versus alternatives. Since the sibling tools are unrelated, the intended usage is implicit (e.g., when encountering a bug). However, there is no clear exclusion or alternative context, so it is adequate but basic.

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