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

Beyond the annotations (openWorld, idempotent, destructive), the description discloses that the result is Google's real decision rather than a guaranteed refund, that admin authorization is required, and that idempotency depends on a stable key. It does not explain what the destructive hint means in practice or what side effects occur on the lead record, leaving one notable 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?

Front-loaded with the action and the returned outcome, then prerequisites and parameter rules; every sentence carries information. Some sentences are packed with multiple constraints, but there is no filler.

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, the description need not explain return shape, and it still names the decision it returns. For a destructive, open-world, 6-parameter write tool it covers auth, idempotency, and rating/reason coupling well, though it omits the practical consequences of the destructive flag.

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 carry parameter meaning, and it does add real semantics: rating drives a matching reason, positive vs negative reason families, OTHER requires a comment, NEUTRAL takes no reason, and idempotency_key must be stable across retries. It leaves business_id/lead_id and comment optionality/length unaddressed, so it is strong but not complete.

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 verb and resource ('Submit an authorized, truthful Google LSA quality survey') and the concrete outcome ('return Google's actual bonus-credit decision'). It also explicitly distinguishes itself from the retired manual dispute workflow, so an agent can separate this from dispute/refund style siblings.

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?

Gives explicit prerequisites (admin role, stable retry key) and explicit exclusions ('not a guaranteed refund', 'not the retired manual dispute workflow'). It also constrains scope to one lead at a time ('per-lead survey answer... not a bulk dissatisfaction claim'), which is the key selection rule.

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