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hailuo_generate_video_from_image

Create AI video from a reference image by animating its content based on a text prompt.

Instructions

Generate AI video from a reference image using Hailuo (MiniMax).

This allows you to create a video based on a reference image. Hailuo will
animate the image content according to your text prompt.

Use this when:
- You have a specific image you want to animate
- You want to create a video based on visual content
- You need image-to-video generation

The first_image_url parameter is required for this tool.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the video motion and content. Describe what should happen in the video, how objects should move, what transitions to include.
first_image_urlYesURL of the reference image for image-to-video generation. The video will be generated based on this image. Required for minimax-i2v and minimax-i2v-director models.
modelNoVideo generation model. Options: 'minimax-i2v' (image-to-video, default for this tool), 'minimax-i2v-director' (director-mode image-to-video with more creative control).minimax-i2v
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 the full burden. It states that Hailuo will animate the image content according to the text prompt and returns a task ID and video info. However, it does not mention processing time, image format limitations, or whether the call is synchronous or asynchronous (though callback_url suggests async). Adequate but could provide more operational details.

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 well-organized with clear sections for usage conditions and return values. It is about 10 sentences, which is appropriately sized. It front-loads the main purpose and provides structured bullet points. Slight redundancy in the usage list could be trimmed.

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 tool has 4 parameters (2 required) and an output schema exists (not provided but referenced), the description covers the essential context: it explains the tool's purpose, required parameter, return structure. It provides sufficient information for an agent to decide to use it, though it could mention model-specific nuances.

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 description coverage is 100%, so the baseline is 3. The description adds context that 'first_image_url' is required for this tool and explains model options ('minimax-i2v' default, 'minimax-i2v-director' for more control). However, it does not significantly enhance understanding beyond the schema's own descriptions.

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 it generates AI video from a reference image using Hailuo. It explicitly says 'image-to-video generation' and distinguishes from the sibling tool 'hailuo_generate_video' (which is presumably text-to-video) by specifying the required 'first_image_url' parameter.

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 includes 'Use this when:' bullet points listing specific scenarios: having a specific image to animate, creating video based on visual content, needing image-to-video generation. However, it does not explicitly state when not to use this tool or compare it directly to the sibling 'hailuo_generate_video' for text-only prompts.

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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