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

Annotations already declare readOnlyHint=true, destructiveHint=false and a closed world, so safety is covered. The description goes beyond them by defining the selection criterion ('explicit dissatisfaction or churn signals') and by enumerating return fields, which is valuable since no output schema exists. It stops short of stating scan scope (whole workspace? time range?) or result volume.

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?

A single front-loaded sentence that names the trigger condition before the returned fields, with no filler or restated boilerplate. It is efficiently sized for a no-parameter tool, though it is a fairly dense run-on rather than cleanly segmented.

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 zero-param tool the description covers selection criteria and return shape, which is the main thing needed given the absent output schema. But it omits scope (what data range/entity set is scanned), result limits, and any differentiation from the similarly named churn sibling, leaving real gaps for an agent deciding whether to call it.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description does not need to compensate for any schema gap here.

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?

States a concrete verb+resource: it finds customer feedback sentences containing explicit dissatisfaction/churn signals and enumerates what it returns (customer, job, rating, triggering sentence). That is a clear, specific purpose. However, it does nothing to distinguish itself from the near-identical sibling `customer_churn_feedback_flags`, so the agent cannot tell which churn tool to pick from the name alone.

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?

There is no explicit when-to-use guidance, no prerequisites, and no named alternative. With `customer_churn_feedback_flags`, `churn_risk`, and `priority_audit_from_text` in the sibling list, the definition should say what makes this sentence-level scan different, but it leaves the choice entirely to inference.

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