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Hanyuyu

ImgLume MCP

by Hanyuyu

generate_video

Generate a video from a text prompt. Optionally provide a reference image for image-to-video, set duration, and request audio.

Instructions

Generate one video with ImgLume. Pass a reference image URL or local path for image-to-video. Omit model, quality, or aspectRatio to use live ImgLume defaults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoOptional video model ID
promptYesDescribe subject motion, camera motion, and scene changes
qualityNoOptional video quality
promptIdNo
aspectRatioNoOptional ratio such as 16:9 or 9:16
generateAudioNoWhether to request generated audio
durationSecondsNoVideo duration from 4 to 15 seconds
referenceImagesNoPublic image URLs or absolute/local image file paths
Behavior2/5

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

No annotations are provided, and the description only states it generates a video. Missing details on execution time, async behavior, destructive actions, or authentication needs.

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 sentences, front-loaded with purpose, no extraneous information. Every word earns its place.

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

Completeness2/5

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

Given 8 parameters and no output schema, the description lacks details on return values, error handling, or parameter interactions. Basic functionality is covered, but experienced users need more context.

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 88%, so most parameter descriptions are already present. The description adds value by noting that omitting model/quality/aspectRatio uses defaults, but does not explain advanced parameters like promptId or generateAudio.

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 phrase 'Generate one video with ImgLume' clearly states the action and resource. Mentioning image-to-video distinguishes it from sibling tools like generate_image, but it could be more explicit about output type.

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?

Provides implicit guidance by mentioning optional parameters and defaults, but does not explicitly state when to use this tool versus siblings or when not to use it.

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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