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RoleModel

Optics MCP Server

by RoleModel

Generate Theme

generate_theme

Generate a brand theme that outputs CSS variables and Figma Variables JSON from design tokens; requires brand name and primary color, optional neutral.

Instructions

Generate a complete theme with CSS variables and Figma Variables JSON using Optics design tokens

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNameYesThe name of the brand/theme (e.g., "Acme Corp")
primaryYesPrimary brand color (hex, e.g., "#FF5733")
neutralNoNeutral color (hex, optional)
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. It states the tool generates a theme but does not disclose side effects, permission requirements, rate limits, or whether the operation is idempotent. The description lacks behavioral details beyond the basic action.

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 sentence of 15 words, efficiently conveying the tool's purpose, output formats, and underlying design system. It is front-loaded and contains no unnecessary words.

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

Completeness3/5

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

Given the tool has 3 parameters, no output schema, and no annotations, the description is somewhat brief. It specifies output formats but omits information about error handling, constraints on the 'neutral' parameter, and what 'complete theme' entails. The description is adequate but leaves gaps for a comprehensive understanding.

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 each parameter is documented. However, the tool description does not add any extra meaning beyond what the schema already provides. It neither clarifies parameter constraints nor explains how they affect the output. The baseline score of 3 is appropriate.

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 verb 'Generate' and the resource 'a complete theme', specifying the output formats (CSS variables and Figma Variables JSON) and the design system used (Optics design tokens). This distinguishes it from sibling tools like 'generate_component_scaffold' which focus on components.

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. It does not mention prerequisites, use cases, or when not to use it. With several sibling tools, explicit usage context would be helpful.

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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