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video_image_to_video

Create a video from an input image with optional text prompt. Returns a task ID for asynchronous result retrieval.

Instructions

Generate a video from an input image (and optional prompt). Returns a task_id — poll with video_agent_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesVideo generation model id
promptNo
durationNo
image_urlYesURL (or base64) of the input image
resolutionNo
callback_urlNo
prompt_optimizerNo
Behavior3/5

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

No annotations provided. The description discloses that the tool is async and returns a task_id, which is the key behavioral trait. However, it lacks details on failure modes, timeouts, or retry behavior.

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

Conciseness4/5

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

The description is very concise (one sentence) and front-loaded with the primary action. It could benefit from a brief list of key parameters but remains efficient.

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

Completeness2/5

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

Given 7 parameters, low schema coverage, and no output schema, the description is too brief. It provides the async polling pattern but leaves many parameter details unaddressed.

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

Parameters2/5

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

Schema description coverage is 29% (only 2 of 7 parameters have descriptions). The description adds no information about parameters like duration, resolution, callback_url, or prompt_optimizer.

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 ('Generate a video'), the input ('from an input image'), and the optional prompt. It distinguishes from sibling 'video_text_to_video' which uses text input.

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?

The description implies usage context (image input) and instructs to poll with 'video_agent_query'. It does not explicitly exclude other tools but the purpose is clear.

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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