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wait_for_job

Polls a media generation job until completion, returning the final result or an error if the timeout is reached. Eliminates the need to manually check job status.

Instructions

Wait for a media generation job to complete — polls until the image, video, or audio is ready or the timeout is reached. Use this to get the final result without manually calling get_job_status in a loop. Returns the completed job on success or an error if the timeout expires.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe media job ID to wait for (e.g. "mjob_...").
timeoutSecondsNoMaximum seconds to wait before giving up (default: 300).
Behavior4/5

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

With no annotations, the description carries full burden. It correctly discloses polling, timeout, and return of completed job or error on timeout. However, it does not mention behavior for job failures (e.g., generation error), which could be misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two clear, front-loaded sentences with no redundant information. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Low complexity (2 params, no output schema) but description explains return values. Still, it lacks details on error types and the structure of the completed job object. Sibling tool context is well addressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for both parameters. The tool description does not add meaning beyond the schema (e.g., no format examples for jobId). Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Wait for a media generation job to complete' with specific verb and resource, and explicitly differentiates from 'get_job_status' by avoiding manual polling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this to get the final result without manually calling get_job_status in a loop', providing clear when-to-use and naming the alternative sibling tool.

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

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