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

With no annotations, the description carries the safety profile itself: it declares the tool free and read-only and spells out the returned signals (worker heartbeat/status, feed state, completed paid-job counts). The caveat that background inventory generation is not counted as customer revenue preempts a plausible misreading of the counts. It stops short of operational detail such as auth requirements, rate limits, or data freshness.

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 sentences, front-loaded with the identity of the tool and the proof it provides, then the routing guidance. Dense but each clause carries information; the return-field enumeration and the revenue caveat both earn their space.

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 no output schema and no annotations, the description does the heavy lifting by enumerating what is returned and qualifying what the counts mean. That is enough for an agent to call and interpret it, though freshness or invocation cost details are absent.

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 and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline for a parameterless tool applies; no misleading param language is present.

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 (get fulfillment proof = operational evidence PaidHandshake has active fulfillment capacity) and enumerates the four signal classes returned. It also positions itself against siblings by ruling out inventory browsing (get_live_inventory) and single-job polling (get_paid_machine_job), so an agent can route correctly without opening another 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?

Contains an explicit when-to-use ('platform/fulfillment verification') plus two when-not cases that map cleanly onto named sibling concepts: purchasable inventory and polling one specific paid job. Nothing is left to inference about the appropriate call site.

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