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getApiJob

Poll the status of a generation job started by any tool. Every tool returns {id, status}; call getApiJob with that id until status is succeeded (then read result, shaped exactly like the tool's documented output) or failed (read error). Poll every few seconds, or pass wait: 30 to long-poll - the call is held up to 30 seconds (max 60) and returns as soon as the job finishes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
waitNoSeconds to long-poll for a terminal state (0-60). Defaults to 0 (return immediately).

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses the return shape ('{id, status}') and explains how to interpret success ('succeeded' → read result) and failure ('failed' → read error). It also describes long-polling behavior, including the max wait of 60 seconds, making the tool's behavior fully transparent.

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?

The description is a single, well-structured paragraph. It leads with the main purpose, then explains the response format and polling behavior. There is no unnecessary repetition or verbosity; each sentence adds useful information.

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

Completeness5/5

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

For a simple polling tool, the description covers all necessary aspects: what it does, how to use it (including polling and long-polling), what it returns, and how to handle results. It does not require additional context about authentication or error handling beyond reading the error field, which is sufficient.

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

Parameters4/5

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

The schema describes 'wait' with a default and range, but the description adds context by explaining how wait relates to long-polling and the max value (60). It also clarifies that 'id' is the job id returned by any tool, which is not explicitly in the schema. However, the parameter meanings are fairly clear from the schema, so it only adds marginal value.

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 the action ('Poll'), the resource ('the status of a generation job'), and the context ('started by any tool'). It also distinguishes itself by mentioning it works for jobs from any tool, which is helpful among siblings.

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

Usage Guidelines4/5

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

It gives explicit guidance on polling frequency and long-polling: 'Poll every few seconds, or pass wait: 30 to long-poll'. It does not explicitly contrast with alternatives like listApiJobs, but the usage is implied by its purpose. Could be slightly more explicit about when to use this over listing jobs.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools pair a clear action and asset type (create3DModel, editVideo, removeBackground), and overlapping pairs such as animateSprite vs transferMotion vs animateSpriteKeyframes are carefully differentiated by input mode. The main friction is listApiJobs vs listGenerations, which both return generation history from slightly different scopes.

Naming Consistency4/5

The set is overwhelmingly consistent camelCase verb+noun (create*, edit*, list*, animate*, cancel*), with only minor deviations like generatePose/generateWithStyle alongside createImage and the slightly awkward validateApiKeyEndpoint. There is no chaotic mixing of conventions.

Tool Count2/5

At 31 tools this exceeds the 25+ threshold for 'too many', even though the multimodal game-asset scope explains much of the breadth. Agents face a large selection surface with many generation variants across 3D, sprites, images, audio, and video.

Completeness4/5

Core workflows are covered: image-to-3D plus rigging and animation, sprite pose/rotation/animation/editing, image create/edit/style/background-removal, video create/edit/upscale, and audio SFX/ambiance/music/voice. Minor gaps remain, such as no image upscaler and no individual asset retrieval or deletion.