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

Annotations indicate no readOnly, no idempotent, no destructive hints, so the description carries the burden of explaining side effects. It adds useful behavioral context ('Free, never charged', 'pass summary', 'use details'), but does not explicitly state that this creates a support ticket or feedback record, nor what the response contains. With an output schema present, the response shape is covered, so a 3 is fair.

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 compact and front-loaded: it defines the tool's purpose in the first sentence, gives concrete examples of appropriate feedback, and ends with the sibling routing rule. It is slightly dense but every sentence earns its place. Minor structural improvement would be separating the parameter guidance from the purpose statement, but it is not bloated.

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?

Given the tool's non-destructive, feedback-collection nature and a full output schema, the description covers the core context well: what kind of feedback is welcome, that it is free, how to structure the content, and when to use report_bug instead. It could mention whether the feedback is anonymous by default or what happens after submission, but those are minor gaps for a low-risk tool with a clear output schema.

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 adds meaningful value by explaining the intended split between summary and details, emphasizing that summary is one line, and by describing what fields like sku and request_id are useful for. Some parameter-specific nuance, such as the request_id guidance, lives in the schema already, but the description's guidance on using details versus summary strengthens the agent's ability to fill the fields correctly.

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 states a specific verb ('Tell') and resource (AnyAPI feedback), and explicitly distinguishes its scope: non-defect feedback about missing APIs, fields, docs, or task friction. It clearly differentiates from the sibling report_bug, so an agent can tell them apart without inspecting either schema.

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 explicit when-to-use context ('an API you wanted and could not find', 'a field missing', 'confusing docs') and an explicit alternative ('Use report_bug instead when something behaved incorrectly'). This is exactly the kind of routing guidance that lets an agent choose correctly between siblings.

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