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Create animation

create_animation

Creates a stylized animated video with art and camera settings, using a custom prompt or an audio-derived prompt mode. Can use an initial image and audio. Credits depend on frame rate and duration; returns a project id for wait_for_video_project.

Input Schema

NameRequiredDescriptionDefault
fpsYesThe desire output video frame rate
nameNoGive your video a custom name for easy identification.Animation - dateTime
styleYesDefines the style of the output video
widthYesThe width of the final output video. The maximum width depends on your subscription. Please refer to our [pricing page](https://magichour.ai/pricing) for more details
assetsYesProvide the assets for animation.
heightYesThe height of the final output video. The maximum height depends on your subscription. Please refer to our [pricing page](https://magichour.ai/pricing) for more details
end_secondsYesThis value determines the duration of the output video.

Output Schema

NameRequiredDescriptionDefault
idYesUnique ID of the video. Use it with the [Get video Project API](https://docs.magichour.ai/api-reference/video-projects/get-video-details) to fetch status and downloads.
credits_chargedYesThe amount of credits deducted from your account to generate the video. If the status is not 'complete', this value is an estimate and may be adjusted upon completion based on the actual FPS of the output video. If video generation fails, credits will be refunded, and this field will be updated to include the refund.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly=false, destructive=false, openWorld=true), so the bar is lower, and the description adds genuinely useful context: credit cost scales with frame rate and duration, and it returns a project id to poll via wait_for_video_project. It doesn't mention auth or approval requirements, but the async chain and cost warning are real added value.

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?

Two tight sentences, front-loaded with the verb and resource, followed by capability and cost/return facts. No filler or redundancy.

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 an output schema exists, return values needn't be described, yet the description helpfully flags the project id and the wait_for_video_project hand-off. With 7 parameters, nested objects, and conditional enums, the description could say slightly more about required inputs (e.g., that audio/assets drive prompt_type), but overall it is sufficient for correct invocation.

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%, so the schema already documents every parameter including the enums, nested style object, and conditional requirements. The description only loosely maps 'art and camera settings' and 'initial image and audio' to those fields, adding little beyond the schema — baseline 3 is appropriate.

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?

States a specific verb and resource ('Creates a stylized animated video') and enumerates the two prompt modes plus optional image/audio inputs. It doesn't explicitly contrast itself with near-neighbors like create_video_from_image or create_video_from_audio, so sibling differentiation is only implied by the 'animated video with art styles' framing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Mentions the audio-derived prompt mode constraint only indirectly ('custom prompt or an audio-derived prompt mode'), and names wait_for_video_project as the follow-up, which implies an async workflow. However, it never says when to pick this tool over the many other video-creation siblings, leaving selection to inference.

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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