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conductor-figma

conductor-figma

by Dragoon0x
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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import_design_system

Import design system JSON to create tokens, styles, and components in Figma.

Instructions

Import a design system from JSON config and create all tokens, styles, and components.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "config": "<config>"
    },
    "name": "import_design_system"
  }
}

Input Schema

NameRequiredDescriptionDefault
configYesJSON config string with colors, fonts, spacing, components

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.3.3

TDQS

C2.9/5.0
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 of explaining side effects and safety. It says the tool 'creates tokens, styles, and components,' but does not disclose whether existing items are overwritten, merged, duplicated, or preserved, nor what auth or validation requirements exist.

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?

One sentence, no wasted words, and the core action plus outcome are front-loaded. The structure is clean and appropriate for a tool with a single parameter.

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 bulk import operation with no output schema and no annotations, the description is too thin. It does not explain what a valid design-system config looks like, how conflicts with existing tokens/styles/components are handled, what the response contains, or what can go wrong. These are important gaps for correct invocation by an 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% for the single config parameter, and the description roughly repeats the schema's categories ('colors, fonts, spacing, components'). It adds no example, accepted JSON structure, or validation detail, so it meets baseline but provides little extra semantic value.

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 states a clear action ('Import ... from JSON config') and a specific resource (design system) with an explicit result: creating all tokens, styles, and components. This distinguishes it from token-only tools like import_tokens or create_design_tokens, even though no sibling is named.

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?

There is no guidance on when to use this tool versus alternatives such as import_tokens, create_design_tokens, or create_style_guide. No prerequisites, exclusions, or contextual conditions are provided, so an agent must infer the appropriate use case.

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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