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hailuo_generate_video

Generate an AI video from a text description. Describe the scene, motion, style, and mood to create a high-quality video.

Instructions

Generate AI video from a text prompt using Hailuo (MiniMax).

This is the simplest way to create video - just describe what you want and Hailuo
will generate a high-quality AI video.

Use this when:
- You want to create a video from a text description
- You don't have reference images
- You want quick text-to-video generation

For using a reference image, use hailuo_generate_video_from_image instead.

Returns:
    Task ID and generated video information including URLs and status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the video to generate. Be descriptive about the scene, motion, style, and mood. Examples: 'A cat walking through a garden with butterflies', 'Ocean waves crashing on a beach at sunset', 'A futuristic city with flying cars'
modelNoVideo generation model. Options: 'minimax-t2v' (text-to-video, default), 'minimax-i2v' (image-to-video, requires first_image_url), 'minimax-i2v-director' (director-mode image-to-video, requires first_image_url).minimax-t2v
callback_urlNoWebhook callback URL for asynchronous notifications. When provided, the API will call this URL when the video is generated.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full responsibility. It discloses that the tool generates video and returns a task ID, URLs, and status, but lacks details on async behavior, processing time, cost, rate limits, or content restrictions. The callback parameter is mentioned but not fully explained.

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 brief and well-structured: a one-line summary, followed by usage guidelines, an alternative note, and a return type statement. Every sentence serves a purpose, and information is front-loaded.

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?

Given the presence of an output schema and sibling tools, the description covers core purpose, usage context, and alternative. It lacks details on asynchronous behavior, error handling, and operational constraints, but these are partially addressed by the output schema and callback parameter explanation.

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 good parameter descriptions. The tool description adds little beyond the schema—it repeats 'text prompt' and the sibling reference. With full schema coverage, baseline is 3, and no significant extra semantic value is provided.

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 tool's action: 'Generate AI video from a text prompt using Hailuo (MiniMax).' It specifies the verb 'generate', the resource 'AI video', and the input source 'text prompt'. It differentiates from sibling tools by explicitly noting the alternative for reference images.

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?

Explicit 'Use this when:' bullets list three specific scenarios: creating video from text, no reference images, and quick generation. It also tells when not to use it and directs to a sibling tool ('For using a reference image, use hailuo_generate_video_from_image instead').

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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