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RoleModel

Optics MCP Server

by RoleModel

Generate Component Scaffold

generate_component_scaffold

Generate a React component scaffold that integrates Optics design tokens by specifying component name, description, and required tokens.

Instructions

Generate a React component scaffold with proper token usage

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
componentNameYesName of the component (e.g., "Alert", "Card")
descriptionYesBrief description of the component
tokensYesList of token names the component should use
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only mentions 'with proper token usage' but does not explain what that entails—e.g., whether tokens are validated, if existing files are overwritten, or any side effects. This is insufficient for a generation tool.

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?

A single sentence that is front-loaded and free of fluff. Every word contributes to the purpose, with no wasted text.

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?

The tool generates a scaffold—an involved operation—yet the description lacks details on output structure, error behavior, or how token usage is enforced. Without an output schema, more explanation is needed for an agent to expect the result correctly.

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 for all three parameters, so the schema already documents their meaning. The description adds no additional parameter-specific context beyond 'with proper token usage,' which is vague. Baseline 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 tool generates a React component scaffold, with a specific verb and resource. It distinguishes itself from sibling tools like get_component_info or list_components, which are read-oriented.

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 on when to use this tool versus alternatives such as list_components or get_component_info. There is no mention of prerequisites, scenarios where it should be avoided, or comparison to related tools.

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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