Dispatch an existing pending processing job to its registered worker.

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

Annotations indicate idempotentHint=true and destructiveHint=false, which the description does not contradict. The description adds the context of a 'registered worker,' implying a dependency, but fails to disclose other behavioral traits such as required permissions or side effects beyond dispatching. Given the annotations, the description provides marginal added value.

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 sentence, which is concise and front-loaded. However, it is too brief, sacrificing necessary detail for brevity. It earns its sentence but does not provide enough information for an agent to use the tool effectively.

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 the tool has three parameters and an output schema, the description is incomplete. It does not explain the job state requirement (pending), the return value, or any post-dispatch behavior. The agent is left with significant gaps in understanding the tool's operation.

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?

With 0% schema coverage, the description must compensate for missing parameter explanations. It does not mention any of the three parameters (x-api-key, job_id, version) or their purposes. The agent receives no guidance on what values to provide, making correct invocation unlikely without external knowledge.

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?

Tautological: description restates name/title.

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?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor does it specify prerequisites or conditions (e.g., the job must be in 'pending' state). This lack of guidance reduces the tool's usability for an AI agent.

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