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Create a MiniMax H3 clip (up to 15 s)

create_minimax_h3_video

Generate a short AI video from a single photo: basic mode animates the image with generated audio, while reference mode lip-syncs to an audio clip. Returns a job ID.

Instructions

Start a minimax-h3 generation from one photo. mode='basic': user_prompt (scene description) + requested_duration_s (5-15); the model animates the photo and generates the soundtrack itself. mode='reference': one audio_clip_id drives the clip with lip-sync (first 15 s billed); user_prompt is optional; up to 8 extra image / 3 video / 2 audio reference_files with reference_captions keep a product or background consistent. Output is 768 px on the short side, orientation follows the photo. Cost 3.3 credits per billed second, charged on create. Returns the job id; call wait_for_job(model='minimax-h3') until done (1-3 min).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
nameNo
image_urlNo
image_pathNo
user_promptNoScene / motion description (required in basic mode)
audio_clip_idNoReference mode: the clip that drives the video
reference_filesNoReference mode: local paths of extra reference images/videos/audio
reference_captionsNoOne caption per reference file, same order
requested_duration_sNoClip length in basic mode (default 8)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and delivers: cost of 3.3 credits per billed second charged at create time, first-15s billing cap in reference mode, 768 px short-side output, orientation inherited from the photo, and a 1-3 minute runtime with the required follow-up poll. These are exactly the operational traits an agent cannot infer from the schema.

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?

A single dense paragraph, but it is front-loaded with the purpose and every clause carries information (cost, limits, duration, follow-up). It is slightly packed — cost, resolution, and latency are interleaved with mode semantics — but no sentence is filler.

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

Completeness5/5

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

For a 9-parameter generation tool with no output schema and no annotations, the description covers the full lifecycle: required inputs per mode, reference caps, billing, output format, the returned job id, and the polling step. An agent can invoke and follow through correctly without opening anything else.

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

Parameters4/5

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

Schema coverage is only 56%, and the description compensates well: it specifies user_prompt is required in basic but optional in reference, that audio_clip_id drives lip-sync in reference mode, the per-type reference_files limits (8 image / 3 video / 2 audio) with reference_captions matched by order, and the 5-15s range and default of 8 for requested_duration_s. Only name, image_url, and image_path are left unexplained.

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?

States a specific verb and resource ('Start a minimax-h3 generation from one photo') and immediately names the two operating modes, so the agent knows exactly which generation pipeline this is versus siblings like create_craftstory2_video. The scope (one photo, up to 15s) is concrete and unambiguous.

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?

Explicitly routes between mode='basic' and mode='reference' with the condition that selects each (soundtrack generated by model vs. audio_clip_id driving lip-sync), and tells the agent to call wait_for_job(model='minimax-h3') afterward. It does not, however, state when to prefer this tool over a sibling video generator, so it stops short of full alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.