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image_to_video

Generate a video from an input image using AI. Provide a prompt and starting frame to create a moving video with adjustable duration and style.

Instructions

Create a Kling task on RunAPI (image to video). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoPoll until the task reaches a terminal status.
modelNoRunAPI model slug for this model line.
promptYes
cfg_scaleNo
timeout_msNo
aspect_ratioNo
callback_urlNo
negative_promptNo
duration_secondsNo
poll_interval_msNo
last_frame_image_urlNo
first_frame_image_urlYes
Behavior2/5

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

No annotations provided. The description only mentions returns (task id, status, output URLs) but fails to disclose async behavior, polling options, or side effects from parameters like wait.

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

Conciseness3/5

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

Single sentence with no wasted words, but lacks crucial details. Conciseness at the expense of completeness.

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

Completeness1/5

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

With 12 parameters, 2 required, and no output schema, the description is far too minimal. It doesn't explain required parameters, output structure, or task lifecycle.

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

Parameters1/5

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

Schema description coverage is only 17% (only 'wait' and 'model' have descriptions). The tool description adds no parameter explanations, failing to compensate for the low coverage.

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

Purpose4/5

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

The description clearly states it creates a Kling task for image-to-video, distinguishing from sibling text_to_video. However, it could be more explicit about the required image input.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives like text_to_video or motion_control. Lacks context for decision-making.

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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