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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering safety and idempotency. The description adds the requirement to include conversation for reproduction, which is valuable behavioral context. However, it does not disclose side effects (e.g., sending data externally) or any other operational details beyond what annotations provide. With annotations present, the description adds some value but is not rich.

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: the first states the purpose, the second gives a key usage hint. It is front-loaded, concise, and every word earns its place. There is no fluff or repetition, making it highly efficient.

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 has only 3 parameters and no nested objects or output schema, so complexity is low. The description covers purpose and a critical usage hint, but it omits details on the required 'message' parameter and the format of the 'conversation' string (which defaults to '[]' but could be a JSON array). Given the annotations and simplicity, it is adequate but leaves room for improvement. The agent would likely need to guess on message content.

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 only mentions the 'conversation array' (corresponding to the 'conversation' parameter) but does not explain the required 'message' parameter or the optional 'context'. The description lacks critical guidance on what to put in the required field, leaving the agent to infer from the tool name. This is a significant gap given the schema provides no descriptions.

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.' This is a specific verb+resource, and no sibling tools perform a similar function, so it clearly distinguishes itself. The name and description align perfectly.

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 gives a clear usage instruction: 'Include the conversation array with recent messages for reproduction.' This tells the agent how to use the tool effectively. However, it does not explicitly mention when to use it vs. alternatives or when not to use it, though sibling tools are unrelated, making differentiation less critical. The guidance is practical but not exhaustive.

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