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

Annotations already declare destructiveHint=true, idempotentHint=true, openWorldHint=true and readOnly=false, so safety is partly covered. The description still adds real value beyond them: the admin-role auth requirement, the 'stable retry key' semantics that justify idempotency, and the crucial expectation-setting that the result is Google's decision, not a guaranteed refund. It does not explain what the destructive aspect entails, leaving a modest gap.

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 core action is front-loaded in the first sentence and every subsequent sentence carries a distinct constraint (scope, auth, evidence inspection, reason pairing). It is dense with five short sentences, all earning their place, though the volume of caveats makes it slightly list-like rather than sharply structured.

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 an output schema present, return semantics needn't be described, and annotations cover the safety profile. The description supplies the remaining essentials: authorization, idempotency, evidence-review discipline, and rating/reason coupling. It is nearly complete for a 6-parameter mutation, with only the destructive consequences left implicit.

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 0%, so the description must compensate, and it does add coupling rules not present in the schema: 'Use a matching positive/negative reason; OTHER requires a comment. Neutral takes no reason.' It also characterizes idempotency_key as a 'stable retry key.' It doesn't map each of the six parameters individually, but the enum-conditioning logic is the material addition.

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 and resource -- 'Submit an authorized, truthful Google LSA quality survey' -- and states the outcome ('return Google's actual bonus-credit decision'). It also explicitly contrasts itself with a wrong mental model ('not a guaranteed refund or the retired manual dispute workflow'), letting an agent distinguish this action from adjacent workflows without opening the 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?

It gives clear usage conditions: 'Inspect the lead evidence first' and the exclusion 'do not mass-rate leads as dissatisfied.' It also rules out confusion with the retired manual dispute workflow. However, it never names a current sibling tool (e.g., send_lsa_reply, sync_lsa, get_lsa_report) that an agent might otherwise pick, so the alternative-routing guidance is contextual rather than explicit.

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