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design_tokens_generate

Generate CSS custom properties or Tailwind v4 tokens from a natural language description. Specify what tokens to create, such as color, spacing, typography, motion, or a complete system.

Instructions

Generate CSS token scaffolding from a description. Returns ready-to-use CSS custom properties.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameworkNoOutput format (default: tailwind-v4)
descriptionYesWhat to generate (e.g. 'dark mode color tokens', 'spacing system', 'typography scale', 'motion tokens', 'complete token system')
Behavior3/5

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 the tool generates and returns tokens, implying no destructive side effects, but does not detail edge cases, error handling, or potential costs. Adequate but not rich.

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, concise sentence with no wasted words. It clearly states the action and output without redundancy.

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

Completeness4/5

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

For a simple generative tool with two parameters and no output schema, the description covers the purpose and return type adequately. It could mention that the output is CSS custom properties, which it does. Minor gaps like potential failure modes or input constraints are not critical here.

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 coverage is 100%, with both parameters well-described in the schema. The description adds no additional parameter semantics beyond the schema's details. Baseline of 3 is appropriate given high schema coverage.

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 generates CSS token scaffolding from a description and returns CSS custom properties. The verb 'Generate' and resource 'CSS token scaffolding' are specific, distinguishing it from sibling tools like design_tokens_get_gotchas or design_tokens_get_color_ramp.

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?

No guidance is provided on when to use this tool versus its siblings. The description does not mention excluded scenarios or alternatives. Sibling tools exist for fetching specific token components, but no comparative context is given.

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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