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toiletmadarchut

Cursor Talk To Figma MCP

create_component_instance

Generate a Figma component instance by specifying its key and position using the tool from Cursor Talk To Figma MCP, enabling precise design placement.

Instructions

Create an instance of a component in Figma

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentKeyYesKey of the component to instantiate
xYesX position
yYesY position
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a creation operation but doesn't mention whether this requires specific permissions, how it affects the Figma document, what happens on failure, or any rate limits. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 states exactly what the tool does without any unnecessary words. It's perfectly front-loaded and every word earns its place.

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?

For a mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what happens after creation, what the instance inherits from the component, whether there are size constraints, or what format the response takes. Given the complexity of component instantiation in a design tool, more context is needed.

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 in the schema itself. The description doesn't add any additional meaning about the parameters beyond what's in the schema. This meets the baseline score when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create an instance') and resource ('component in Figma'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'clone_node' or 'create_frame' that might also create visual elements, so it doesn't reach the highest score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'clone_node' or 'create_frame', nor does it mention prerequisites such as needing an existing component key. There's no context about when this operation is appropriate versus other creation methods.

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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