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

While annotations already provide readOnly=false and destructive=false, the description adds context about including conversation data for reproduction. Yet it does not disclose what happens after reporting (e.g., whether an issue is created, data is sent), leaving some ambiguity about side effects.

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 concise, two sentences long, with the main purpose front-loaded and no wasted words. It immediately tells users what the tool does and how to use it effectively.

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 description adequately covers the main use and provides a critical hint about the conversation array. However, given the lack of schema descriptions and output schema, more details could be included, such as the required 'message' parameter's role or error handling, making it minimally complete rather than fully detailed.

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?

With 0% schema description coverage, the description compensates partially by explaining the 'conversation' parameter's purpose and implying 'message' for feedback. However, the 'context' parameter remains unexplained, and the description does not fully detail all parameters' expected values or formats.

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 reports bugs, missing features, or feedback, with a specific verb and resource. It also provides a key instruction about including the conversation array, which distinguishes the tool's purpose without ambiguity.

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 explicitly instructs to include the conversation array for reproduction, which is a concrete usage guideline. However, it does not mention when not to use the tool or compare to alternatives, though siblings are unrelated, so the guidance is adequate for the context.

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