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

Annotations already declare readOnlyHint=false, so the agent knows this is a mutating action. The description adds context ('The team reads these to improve the product') and a directive to be specific, but does not disclose details like whether the operation is fire-and-forget, returns a confirmation, or has rate limits. With annotations covering the safety profile, a score of 3 is appropriate.

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 three sentences, each with clear value: purpose, when to use, and how to write a good message. Information is front-loaded, with the most critical element (what the tool does) first. No wasted words.

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 feedback tool with no output schema, the description covers the essential aspects: what it does, when to use it, and what content to provide. It could optionally mention whether any response is expected, but this is a minor omission. The schema covers all parameters, and sibling tools are clearly distinct, so the tool is adequately contextualized.

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 100%, so the baseline is 3. The description's advice to 'Be specific about what went wrong and where' reinforces the 'message' field but does not add new parameter-level information. The schema already documents each parameter thoroughly, including enum meanings for 'type'.

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 opens with a clear verb ('Send') and resource ('feedback, bug report, or feature request'), explicitly naming the target ('Grabbit team'). It distinguishes itself from sibling tools, which all focus on items/collections, by being the only feedback channel.

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 when-to-use scenarios: 'encounter parsing failures, missing features, broken URLs, or have improvement suggestions.' It does not mention alternatives or exclusions, but since it is the only feedback tool among siblings, this is not a significant gap. The context is clear and actionable.

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