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

Annotations already mark the operation as non-readOnly and non-destructive. The description adds meaningful behavioral context: the feedback is sent for later review, there is no automatic reply, and content scope is required, which is not visible from the schema alone.

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 four short sentences with the primary action front-loaded and no filler. Every sentence contributes: what it sends, confirmation behavior, no-reply expectation, and required scope.

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?

With a full output schema, complete parameter descriptions, and annotations, the description covers the key prerequisites and expectations. The only minor gap is that 'content scope' is not elaborated, but the phrase still signals a required precondition.

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%, with each parameter already documented, including 'prefer session_request_id'. The description reinforces the verbatim-message requirement and optional sentiment but adds no meaning beyond what the schema already provides.

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 verb 'Sends' and identifies the resource as the user's feedback, feature request, or bug report about agentView itself, not display content. This scoping distinguishes it from content-sending sibling tools like broadcast_content or send_html.

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?

It gives clear usage context: use for feedback about agentView, confirm wording with the user, sentiment is optional, and there is no automatic reply. The explicit 'not display content' exclusion serves as a when-not signal, though it does not name an alternative tool.

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