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F-MCP (Figma MCP Bridge)

by atezer

figma_check_design_parity

Read-only

Compare Figma design tokens with code tokens to detect mismatches, missing items, and divergent values for design-code gap analysis.

Instructions

Compare Figma design tokens (variables + styles) with code-side tokens. Critical for design-code gap analysis. Returns matching, inFigmaOnly, inCodeOnly, and divergent (same name, different value). Optional codeTokens: JSON string of expected tokens, e.g. {"primary": "#0066cc", "spacing.md": 16} or {"primary": {"value": "#0066cc"}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeTokensNo
Behavior4/5

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

Annotations already mark the tool as read-only; the description adds context about the output categories and the optional parameter, without contradicting annotations.

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 two sentences plus an example, directly stating purpose and parameters without extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers all essential aspects: what the tool does, the optional parameter format, and the return categories, making it complete despite the lack of output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no description for the sole parameter, but the description provides a clear explanation and example of the expected JSON format, fully compensating.

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 compares Figma and code tokens and returns categorized differences, which distinguishes it from sibling tools that manage individual tokens or variables.

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

Usage Guidelines4/5

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

The description labels the tool as critical for design-code gap analysis, implying its use case, but does not explicitly state when not to use it or mention alternatives.

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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