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

With no annotations, the description carries the full burden and does notable work: it declares the payload is advice only, that the reviewer 'can be wrong and never pays or approves anything', and that it returns empty when the reviewer is off. That is exactly the kind of risk/authority disclosure an agent needs before acting on the output. It stops short of describing ordering or size of the returned checks.

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 scope restriction is front-loaded and each sentence adds distinct information (what it returns, what it does not authorize, the dependency, the empty case). Some density from nested parentheticals and heavy capitalization, but 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?

No output schema and no annotations, yet the description covers return content (approve/reject/unsure plus short reasons and checks) and the empty-result condition, which is the critical return-value context. The main gap is the unidentified 'job' parameter, and there is no mention of cost or rate limits for a wallet-token call.

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% with two required params, so the description must compensate. It glosses 'token' as a wallet token but says nothing about the 'job' parameter — whether it is a job id, a report id, or a ticket number. Half the parameters remain ambiguous.

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 — the AI reviewer's advice on a delivered report job — and scopes it to the POSTER. It names the sibling it depends on (job_delivered), so an agent can distinguish this advice-fetch from job_report and job_delivered without opening any 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?

Explicit about the actor restriction (POSTER only) and the prerequisite action ('after reading the report with job_delivered'), which is effectively routing guidance to a sibling. Also states the degenerate case ('Empty when the reviewer is switched off'). No explicit when-not-to-use beyond those constraints.

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