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

Annotations already indicate this is a non-read-only, idempotent, non-destructive operation. The description adds context that the conversation should be included for reproduction, which clarifies the expected input but does not disclose side effects, rate limits, or post-submission behavior. It provides some additive value, but not enough to warrant a higher score.

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 two sentences long, with the purpose front-loaded in the first sentence and the key usage tip in the second. Every word contributes value, and there is no redundant or extraneous content. It is appropriately sized for the tool's simplicity.

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 (3 parameters, no output schema), but the description leaves gaps: it does not explain the 'message' parameter, the 'context' parameter, or the expected format of 'conversation' (string vs. array). It offers a basic understanding of what to do but is not fully self-contained for an agent to invoke without additional assumptions.

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 parameter meaning. It only mentions 'conversation' (calling it an 'array' while the schema defines it as a string) and omits the required 'message' parameter and the 'context' parameter entirely. This provides minimal and slightly misleading guidance for parameter usage.

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 explicitly states the tool's purpose: 'Report a bug, missing feature, or send feedback.' The verb 'report' and specific resources (bug, feature, feedback) make the action unambiguous. Since none of the sibling tools serve a similar function, this tool is clearly distinguished by its intended use.

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 a concrete usage instruction: 'Include the conversation array with recent messages for reproduction,' which tells the user what to provide for effective use. However, it does not explicitly state when to use this tool versus alternatives or when not to use it. Given that no sibling tools are feedback-related, the guidance is clear but lacks explicit exclusions.

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