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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true. The description adds the context that recent messages should be included for reproduction, which is helpful but not a behavioral disclosure beyond annotations. It does not contradict any annotation, nor does it explain side effects or auth requirements.

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, front-loaded with the main action, and contains no filler. Every word earns its place, making it easy to scan and understand.

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?

For a simple reporting tool, the description is adequate but incomplete. It explains the core use and the important conversation parameter, yet it omits the purpose of the 'context' parameter and does not clarify how to pass the conversation (e.g., as a JSON string). No output schema exists, so the description should have mentioned expected results or side effects, which it does not.

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 must compensate for parameter meaning. It only addresses the 'conversation' parameter by asking for recent messages, but leaves 'context' and 'message' semantically underexplained. The description even calls conversation an 'array' while the schema declares it as a string, creating potential ambiguity. Message is self-explanatory, but context remains vague.

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 purpose: 'Report a bug, missing feature, or send feedback.' This uses a specific verb and resource, and unmistakably distinguishes it from the financial sibling tools. It is immediately obvious when this tool should be used.

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 explicit context for use: reporting bugs, missing features, or sending feedback. It also instructs to include the conversation array for reproduction, which is a practical usage guideline. No alternatives or exclusions are mentioned, but none are needed given the unique role among siblings.

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