Submit one queued job

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

Annotations already flag destructiveHint=true, idempotentHint=false, openWorldHint=true, yet the description goes further: it is a PAID request, queue submissions return a receipt only, a synchronous timeout can leave an unknown paid outcome, and there is no retry or polling. This is exactly the consequence-level context an agent needs before spending money.

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?

Dense and front-loaded, leading with the purpose and payment nature before caveats. Some phrasing ('image/video commands do not invent fields') is terse to the point of ambiguity, but no sentence is wasted.

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?

For a costly mutation tool with no output schema, the description adequately covers the risk profile, payment semantics, and outcome uncertainty. It does not describe the receipt shape, but that is a minor omission given the strong behavioral coverage.

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 coverage is 100%, so the baseline is 3, but the description adds real semantic weight: model_id and input must be EXACT, no default is chosen, and no fields are invented for image/video commands. That reinforces the two required parameters beyond their schema descriptions.

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+resource ('Confirmed paid model request', 'submitting a queued job') and the scope is discernible. However, it never names or distinguishes itself from close siblings like run_model, generate_image, generate_video, or submit_generation_batch, so an agent must infer the boundary from the 'queue' vs convenience-command framing.

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?

Usage is implied: submit only when the user asked for exactly this action (confirm), using exact model_id/input, and image/video commands should not be used to fabricate fields. There is no explicit when-to-use/when-not statement and no named alternative tool, so guidance stays informal.

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