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Make a video from reference pictures

create_video_from_references

Make a video that keeps characters, products, outfits or places from reference pictures the same, following a description of the shot. OAuth uses site credits (from 25 credits per second with the default model). API keys use a separate USD wallet. Omit approval to get a quote, then confirm max_credits for OAuth or currency USD and decimal max_usd for API keys.

Input Schema

NameRequiredDescriptionDefault
imageNoChatGPT only: a reference picture the user attached. It becomes image 1.
modelNoOptional model that can make videos from references (list_models with category video shows them). Leave empty for the default, MiniMax H3.
promptYesThe shot to make. Refer to the pictures in order as image 1, image 2 and so on, for example: the woman in image 1 walks her dog from image 2 through a park.
max_usdNoAPI key only: maximum approved USD as a decimal string with up to 9 fractional digits. Set currency to USD. Only set after the user confirms the quoted cost_usd. Never convert max_credits.
currencyNoBilling unit: USD for API keys; credits for OAuth (optional for existing OAuth clients).
max_creditsNoOAuth only: the most site credits the user agreed to spend on this. Only set it after the user confirmed a quoted price.
aspect_ratioNoShape: 16:9 (wide, default), 9:16 (phone) or 1:1 (square).
duration_secondsNoLength in seconds. Default 5. Longer costs more.
reference_image_urlsNoPictures of the characters, objects, outfits or places to keep the same in the video (https or popnow:// links), up to 7.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations (which only mark it as a non-readonly, open-world, non-idempotent write), the description discloses the cost model (from 25 credits per second with the default model), two separate billing wallets depending on auth mode, and a mandatory quote-then-confirm approval handshake. These are exactly the behavioral facts an agent needs before spending a user's money.

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?

Three sentences: capability first, cost model second, approval workflow third — properly front-loaded with no filler. The billing sentence is dense but every clause carries information the agent cannot get from the structured fields.

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

Completeness3/5

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

For a 9-parameter, open-world, nested-object generation tool with no output schema, the description never says what comes back — a finished video, or (given sibling get_job) a job handle that must be polled. It also doesn't mention reference image limits or ordering beyond what the schema says. Cost and approval are well covered, return behavior is not.

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 100%, so the baseline would be 3, but the description adds cross-parameter semantics the schema only states in isolation: the sequencing where no approval yields a quote, and only a confirmed quote unlocks max_credits (OAuth) or currency=USD with decimal max_usd (API keys). It reinforces rather than contradicts the per-field schema text.

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 opening sentence names a specific verb and resource plus the distinctive capability: making a video that preserves characters, products, outfits or places from reference pictures, driven by a shot description. That clearly separates it from plain create_video, but the sibling is never named, so the agent must infer the boundary from the phrasing alone.

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 gives explicit procedural guidance: omit approval to obtain a quote first, then confirm max_credits for OAuth or currency=USD plus max_usd for API keys, and it states which billing path applies to which auth mode. It does not cover when to choose this tool over create_video, extend_video or compose_video, which is the remaining gap.

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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