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AndresMuelas2004

tldraw MCP Server

tldraw_create_video

Insert a video shape onto a tldraw canvas using a pre-created asset ID. Configure position, size, opacity, and autoplay settings.

Instructions

Create a video shape. Requires an asset ID (create one first with tldraw_create_asset).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hNoVideo height
wNoVideo width
xYesX position on canvas
yYesY position on canvas
pageIdYesTarget page ID (e.g. 'page:xxx')
altTextNoAlt text for accessibility
assetIdYesAsset ID for the video (from tldraw_create_asset)
opacityNoOpacity from 0 to 1 (default 1)
playingNoWhether video auto-plays
isLockedNoWhether the shape is locked (default false)
parentIdNoParent frame or group ID for nesting
rotationNoRotation in radians (default 0)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the creation action and prerequisite, but does not disclose side effects, return values, or what happens on invalid input. For a mutation tool, this is insufficient behavioral context.

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?

The description is a single, efficient sentence that immediately conveys the primary purpose and a critical prerequisite. No wasted words.

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?

Given the tool's complexity (12 parameters, no output schema), the description provides the essential prerequisite but lacks broader context about the shape creation process or what the tool returns. The schema details compensate partly, but more contextual guidance would improve completeness.

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 12 parameters with descriptions. The tool description does not add additional meaning beyond what the schema provides. 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 tool's action ('Create a video shape') and distinguishes it from sibling shape creation tools (e.g., tldraw_create_image, tldraw_create_text) by specifying the shape type. It also mentions a prerequisite, adding clarity.

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 provides a prerequisite ('Requires an asset ID (create one first with tldraw_create_asset)') but does not explicitly guide when to use this tool over alternatives like tldraw_create_image or tldraw_create_geo. The purpose of the tool is implied but not differentiated from other shape creation tools.

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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