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

The description adds one useful behavioral note: 'Does not count toward your monthly searches.' This goes beyond the annotations (readOnlyHint, destructiveHint, etc.) to clarify quota impact. However, it does not disclose other behavioral traits like whether the feedback is stored, who sees it, or any rate limits. With annotations present, the bar is lower, but the added value is marginal.

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 and front-loaded with the primary purpose. The second sentence provides a relevant behavioral note. No wasted words, every component earns its place.

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?

Despite having 10 parameters and no output schema, the description is very brief. It does not explain the expected return value, the typical use case in more detail, or how to structure feedback for different action types. While the schema covers many parameters, the description fails to provide a holistic overview, leaving a noticeable gap for a tool with this complexity.

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 70%, meaning most parameters are already explained in the schema. The description lists some actions (bug, data_issue, irrelevant, praise) that overlap with the schema's enum descriptions, adding little new meaning. It does not clarify any parameters beyond what the schema provides, so it stays at the baseline.

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 bugs, data issues, or feedback.' It lists specific action types (bug, data_issue, irrelevant, praise) which distinguishes it from sibling tools focused on searching or saved searches. However, it could be more explicit about the scope (e.g., feedback on search results or the platform itself), leaving slight 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 gives a clear context for when to use the tool ('Report bugs, data issues, or feedback') and implies usage via the listed actions. It does not explicitly discuss when not to use it or provide alternatives, but there are no obvious sibling tools for feedback, so the guidance is sufficient yet not highly detailed.

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