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skulidropek

figma-tunnel-mcp

by skulidropek

create_frame

Create a new frame in Figma at specified coordinates and size, with optional fill, stroke, and auto-layout settings.

Instructions

Create a new frame in Figma

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xYesX position
yYesY position
nameNoOptional name for the frame
widthYesWidth of the frame
heightYesHeight of the frame
parentIdNoOptional parent node ID to append the frame to
fillColorNoFill color in RGBA format
layoutModeNoAuto-layout mode for the frame
layoutWrapNoWhether the auto-layout frame wraps its children
paddingTopNoTop padding for auto-layout frame
itemSpacingNoDistance between children in auto-layout frame. Note: This value will be ignored if primaryAxisAlignItems is set to SPACE_BETWEEN.
paddingLeftNoLeft padding for auto-layout frame
strokeColorNoStroke color in RGBA format
paddingRightNoRight padding for auto-layout frame
strokeWeightNoStroke weight
paddingBottomNoBottom padding for auto-layout frame
layoutSizingVerticalNoVertical sizing mode for auto-layout frame
counterAxisAlignItemsNoCounter axis alignment for auto-layout frame
primaryAxisAlignItemsNoPrimary axis alignment for auto-layout frame. Note: When set to SPACE_BETWEEN, itemSpacing will be ignored as children will be evenly spaced.
layoutSizingHorizontalNoHorizontal sizing mode for auto-layout frame
Behavior3/5

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

No annotations provided, so the description carries the burden. It does not disclose what happens after creation (e.g., insertion point, default properties, return value). The absence of behavioral details leaves the agent guessing about side effects.

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 sentence that front-loads the action and resource. It is concise with no redundant information.

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?

For a tool with 20 parameters and no output schema, the description is too brief. It does not mention expected outcomes (e.g., node ID), prerequisites, or behavior in the Figma document. The schema is detailed but the description lacks high-level 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?

The input schema has 100% description coverage, with each parameter described. The tool description adds no extra meaning beyond the schema. While the schema is comprehensive, the description does not highlight important parameter groups (e.g., auto-layout parameters).

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 'Create a new frame in Figma' is a specific verb-resource pair that clearly distinguishes this tool from siblings like create_rectangle or create_text. It states exactly what the tool does and the context.

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?

There is no explicit guidance on when to use this tool versus alternatives like create_rectangle. The description does not mention exclusions or specific contexts. The sibling tool names are distinct, but the description does not help the agent decide.

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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