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Figma Edit MCP

by neozhehan

create_component_set

Create a component set by grouping components into a variant group using property names and values.

Instructions

Transforms components into a component set (variants).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentsYesArray of component objects
propertiesYesArray of property names (e.g. ['Size', 'State'])
componentSetNameNoName for the component set
parentIdNoParent frame to place the set in
parentNodeNameNoName of parent node (required if parentId provided, for verification)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states 'Transforms', indicating mutation, but fails to clarify whether original components are retained, deleted, or if the transformation is reversible. Critical side effects and authorization needs are omitted, leaving significant gaps for an AI agent.

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, front-loaded sentence with no unnecessary words. It efficiently states the core action, though it could benefit from slightly more detail without becoming verbose. Overall, it is appropriately concise.

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 the tool's complexity (5 parameters, no output schema, no annotations), the description is insufficient. It does not explain the outcome, side effects, or requirements such as the need for existing components or verification steps. The agent is left with many unanswered questions about how to use the tool correctly.

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, so all parameters are documented. The tool description does not add any additional meaning or constraints beyond what is in the schema, resulting in a baseline score. No extra context is provided for parameter relationships or usage nuances.

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 'Transforms components into a component set (variants)' uses a specific verb ('transforms') and identifies the resource ('components into a component set'). It clearly differentiates from siblings like 'create_component' (creates a single component) and 'create_component_instance' (creates an instance), making its unique purpose clear.

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 implies usage when you have components that need to be combined into a variant set, but it does not explicitly state when to use this tool versus alternatives like 'create_component' or 'group_nodes'. No exclusions or prerequisites are mentioned, providing only minimal contextual 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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