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Add image

add_image

Add a still image to a CapCut draft video track with configurable duration, position, scale, and rotation.

Instructions

Adds a still image to a draft video track.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xNoHorizontal offset from canvas center, -1..1. Default 0.
yNoVertical offset from canvas center, -1..1. Default 0.
pathYesAbsolute path to the image file (supports ~).
draftYesTarget draft name.
scaleNoUniform scale factor. Default 1.
rotationNoRotation in degrees. Default 0.
atSecondsNoTimeline position in seconds. Defaults to the end of the track.
durationSecondsNoHow long the image stays on screen. Default 5.
Behavior2/5

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

No annotations are provided, so the description must disclose side effects. It does not mention whether the operation modifies the draft, requires specific permissions, handles errors (e.g., missing file), or returns any value. This is insufficient for a mutation tool.

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?

The description is a single concise sentence that is front-loaded and easy to parse. It could include more context without significant bloat, but is not wasteful.

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?

With 8 parameters, no output schema, and no annotations, the description is too sparse. It does not explain what a 'draft video track' is, prerequisites, or likely outcomes, leaving significant gaps for an AI agent.

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%, with each parameter having a detailed description (e.g., range, default). The tool description adds no additional parameter info, so baseline 3 is appropriate.

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 action ('Adds'), the resource ('still image'), and the target ('draft video track'). This effectively distinguishes it from sibling tools like add_audio, add_text, and add_video that add different media types.

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?

The description implicitly indicates use for adding still images, but does not explicitly state when to use this tool versus alternatives (e.g., add_video for animated content). No exclusions or prerequisites are provided.

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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