Skip to main content
Glama

delimit_design_generate_component

Generate a React/Next.js component skeleton with TypeScript props interface and Tailwind CSS classes based on component name and optional output path.

Instructions

Generate a React/Next.js component skeleton with props interface and Tailwind support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
component_nameYesComponent name (PascalCase).
figma_node_idNoOptional Figma node ID (reserved for future use).
output_pathNoOutput file path. Defaults to components/<Name>/<Name>.tsx.
project_pathNoProject root for Tailwind detection.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only states the output. It does not mention side effects (e.g., file overwriting), required permissions, or error conditions. The impact on existing files or project configuration is unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the main purpose. It is concise and to the point, but lacks structural elements like bullet points or separate sections. Still, it earns a high score for efficiency.

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 presence of an output schema, return values are not needed. However, the description omits details about the generated component's structure, Tailwind integration specifics, or how parameters influence the skeleton. Some context is missing for a code generation tool.

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 already covers 100% of parameters with descriptions. The description adds minimal value by mentioning 'props interface' and 'Tailwind support', but does not elaborate on how parameters affect these aspects. 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/Next.js component skeleton with props interface and Tailwind support. It is specific about the output and distinguishes itself from siblings like delimit_design_component_library or delimit_design_generate_tailwind.

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 alternatives. There is no mention of prerequisites, project structure, or comparison to similar tools like delimit_design_component_library.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/delimit-ai/delimit-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server