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kenneives/design-token-bridge-mcp (design-token-bridge-mcp)

design-token-bridge-mcp · v1.0.2 · scanned

What changed in the harness

Selection accuracy 95→95, token cost up 19%, unconfirmed writes 0%→0%.

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

0.0 / 30

0.0 out of 30
02Legibility

25.5 / 30

25.5 out of 30
03Economics

20.0 / 20

20.0 out of 20
04Discoverability

11.5 / 20

11.5 out of 20

Highest-impact fix

Estimated gain +30 points

Add explicit identity and permission preflight tools

Expose machine-readable principal/tenant confirmation and a non-mutating permission check so agents can verify both before destructive actions.

Description evidence

Defects and rewrites.

9 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
extract_tokens_from_tailwind
name_restates_behavior no_return_description
Parse the literal contents of a tailwind.config.js or tailwind.config.ts file and convert its theme values (colors, spacing, fonts, etc.) into the server's universal design tokens format. Use this to migrate an existing Tailwind theme into a shared token system. Returns the resulting universal design tokens JSON string.
extract_tokens_from_css
name_restates_behavior no_return_description
Parse the contents of a CSS file and read its custom properties (--variable definitions) to extract their values into the server's universal design tokens format. Use this to onboard an existing CSS variable-based design system into a shared token pipeline. Returns the resulting universal design tokens JSON string.
extract_tokens_from_figma_variables
name_restates_behavior no_return_description
Parse a Figma Variables REST API JSON export (passed as a string) and convert its named variables and modes into the server's universal design tokens format, so Figma design systems can be reused across platforms. Returns the resulting universal design tokens JSON string.
extract_tokens_from_json
no_return_description
Parse a W3C Design Tokens Community Group (DTCG) format JSON string and convert it into the server's universal design tokens format. Use this when your tokens are already authored in the standard DTCG spec. Returns the converted universal design tokens JSON string.
generate_material3_theme
no_return_description
Generate Kotlin Jetpack Compose Material 3 theme source files (ColorScheme, Typography, Shapes, and theme entry points) from universal design tokens. Use this to export a shared design system into an Android Compose codebase. Returns the generated Kotlin file contents.
generate_swiftui_theme
no_return_description
Generate SwiftUI theme source files from universal design tokens, optionally including iOS 26+ Liquid Glass modifiers when the liquidGlass flag is enabled. Use this to export a shared design system into an Apple platform codebase. Returns the generated Swift file contents.
generate_tailwind_config
name_restates_behavior no_return_description
Generate the theme section of a tailwind.config.js/tailwind.config.ts file from universal design tokens, choosing between ES module (esm) or CommonJS (cjs) output. Use this to make a shared design system consumable by Tailwind CSS projects. Returns the generated config text.
generate_css_variables
no_return_description
Generate CSS custom properties (:root variables) from universal design tokens, and when a darkTokens value is provided also emit a dark-mode block alongside the default light values. Use this to expose a shared design system as plain CSS. Returns the generated CSS text.
validate_contrast
no_return_description
Check the color combinations defined in universal design tokens against WCAG AA or AAA contrast requirements, using the requested level (default AA). Use this to catch inaccessible foreground/background pairs before publishing. Returns a report of which combinations pass or fail.

Selection evidence

Confusable tool pairs.

2 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
extract_tokens_from_figma_variables extract_tokens_from_json medium Both consume a JSON string and 'extract design tokens'; a task like 'extract tokens from this variables JSON export' or 'parse this JSON into universal tokens' could land on the generic DTCG extractor instead of the Figma one (or vice versa) when the source format is not named, since the descriptions only differ by 'Figma Variables' vs 'DTCG' and the schemas differ only by the input key.
generate_material3_theme generate_swiftui_theme low Both take the same universal design tokens input and share 'generate theme' wording; a platform-agnostic task like 'generate the theme from my tokens' leaves the target framework ambiguous, allowing the agent to pick the wrong generator even though the descriptions name Kotlin/Compose vs SwiftUI.

Compare the field

One score is useful.
The evidence makes it actionable.

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