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

Annotations state readOnlyHint=true and openWorldHint=true, which already tell the agent this is a safe, external-facing read. The description adds that results are also POSTed to a webhook_url for free and that the call costs $0.002 USDC via x402, which is useful billing and delivery context. However, the description omits basic behavioral facts: does it block until the job finishes, return immediately with a status, or fail if not ready? With annotations covering safety, this adds some value but leaves critical operational behavior undisclosed.

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 description is a single, dense sentence plus a short pricing sentence, with no filler. It is front-loaded with the core concept. The parenthetical list of related tools is a bit noisy but does contribute context about which async tools produce these jobs.

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?

Given two required undocumented parameters (0% schema coverage), no output schema, and the inter-tool async workflow not explained, the description is incomplete. It should tell the agent how to poll or wait, what id/token are, and what the response contains. The billing and webhook notes are useful but do not compensate for the missing retrieval mechanics.

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% for both required parameters (id and token), and the description provides no explanation of what id and token are, where to obtain them, or how they are used. For a paid, authenticated retrieval operation, the agent is left guessing whether id is a job identifier, token is an API key or a job-specific secret, and what format each expects. This is a severe gap.

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 that this tool is about 'background jobs' and that it returns the result of a slow tool run initiated with async=true, which is a clear enough purpose. However, the name 'jobs' is very generic and the description does not clarify whether this tool lists jobs, fetches a single job result, or polls job status – an agent cannot be certain what action it performs. It mentions related tools (answer, research, etc.) but does not distinguish itself from siblings like queue, schedule, tasks, or watch.

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 explains that this is the result of a slow tool run with async=true, which implies when it is used (after an async call). However, it gives no explicit when-to-use or when-not-to-use guidance, no mention of alternatives for polling or waiting, and no indication of whether the id/token should come from the async call's response. An agent must infer the workflow entirely.

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