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mordor-forge

gemini-media-mcp

animate_image

Transform still images into animated video clips using text prompts. Provide an image path and animation guidance to create short videos through an async process.

Instructions

Animate a still image into a video clip. Provide the path to a source image and a prompt guiding the animation. This is an async operation — use video_status to poll progress and download_video to retrieve the result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description guiding the animation
imagePathYesPath to image to use as the first frame
modelNoModel tier: lite (default), fast, or standard
aspectRatioNoAspect ratio (16:9 or 9:16)
durationNoClip duration in seconds (4, 6, or 8)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationIdYes
modelYes
Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it's an async operation, requires polling with another tool, and has a separate retrieval step. However, it doesn't mention rate limits, authentication needs, or error conditions.

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?

Three sentences with zero waste: first states purpose, second specifies required inputs, third explains async workflow. Every sentence earns its place by providing essential information.

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?

Given this is a complex async operation with 5 parameters, 100% schema coverage, and an output schema exists, the description is complete enough. It explains the workflow, distinguishes from siblings, and doesn't need to explain return values since output schema handles that.

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 schema already documents all 5 parameters thoroughly. The description only mentions two parameters ('path to source image' and 'prompt') without adding meaning beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.

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 the specific action ('animate'), resource ('still image'), and outcome ('into a video clip'). It distinguishes from siblings like 'generate_video' (which likely creates from scratch) and 'edit_image' (which modifies images without animation).

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('animate a still image into a video clip') and provides clear alternatives for related operations: use 'video_status' to poll progress and 'download_video' to retrieve results. This gives complete workflow guidance.

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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