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kie_generate_video

Turn text prompts or images into AI-generated videos with control over duration, resolution, and aspect ratio.

Instructions

Generate a video using AI models via kie.ai

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel ID for video generation
promptYesText prompt describing the video to generate
durationNoVideo duration in seconds5
filenameNoCustom filename (without extension)
image_urlNoImage URL for image-to-video generation
output_dirNoOutput directory./videos
resolutionNoVideo resolution (e.g. '720p', '1080p')720p
aspect_ratioNoAspect ratio (e.g. '16:9', '9:16')
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only restates the action without explaining key behaviors such as asynchronous task submission (suggested by kie_check_task), output file handling, or whether the tool blocks waiting for completion. This lack of detail leaves significant uncertainty.

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?

The description is a single sentence, which is compact and avoids verbosity. However, it provides minimal information beyond what the tool name already conveys, bordering on under-specification rather than effective conciseness.

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?

For a tool with 8 parameters and no output schema, the description is incomplete. It does not explain the workflow, return format, or how parameters like output_dir and filename are used. The existence of kie_check_task strongly implies an async pattern, but the description leaves this unstated.

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?

The input schema provides descriptions for all 8 parameters, offering 100% coverage, so the baseline is 3. The description adds no additional parameter semantics, but the schema already explains each field adequately (e.g., duration, resolution, image_url).

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 the tool's function: generating a video via kie.ai. This distinguishes it from sibling tools like kie_generate_image and kie_generate_audio. However, it does not mention the image-to-video capability implied by the image_url parameter, so it falls short of a fully informative purpose statement.

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?

There is no guidance on when to use this tool versus alternatives. The description does not reference sibling tools or provide criteria for choosing video generation over image or audio generation. Usage context is only implied by the tool name.

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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