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

Annotations declare this is a mutating, non-idempotent, non-destructive call, and the description goes further by naming the auth model (authenticated native buyer) and a precondition (existing funded placement). It does not mention the non-idempotent behavior or what the approval state change triggers downstream, which keeps it short of a 5.

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?

Two short sentences, action and scope front-loaded, with the prerequisite information following. No filler or restatement of the tool name.

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 3-parameter mutation with full schema coverage and annotations covering the safety profile, the description supplies the missing pieces an agent needs: auth context and the requirement of an existing funded placement. It omits what happens after the decision is recorded, a minor gap given there is no 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% and the enum for decision is fully documented, including the note that global AI moderation is a separate gate. The description adds no parameter-level detail beyond the schema, so baseline 3 applies.

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 specific action pair (approve/reject) on a specific resource (your generated creative) and names the mechanism (native brand review). It is distinguishable from import_feedback_creative and configure_feedback_brand, though that differentiation is implied by context rather than stated.

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 conveys the setting in which this tool applies (a native brand review of an already-generated creative) but never states when to use it versus siblings like import_feedback_creative or configure_feedback_brand, nor any exclusions. Usage is inferable, not explicit.

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