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Nikhilreddy1011

@21st-dev/magic

21st_magic_component_builder

Generate React UI component snippets from natural language prompts, then integrate them directly into your codebase. Returns the component text for adding to your project.

Instructions

"Use this tool when the user requests a new UI component—e.g., mentions /ui, /21 /21st, or asks for a button, input, dialog, table, form, banner, card, or other React component. This tool ONLY returns the text snippet for that UI component. After calling this tool, you must edit or add files to integrate the snippet into the codebase."

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesFull users message
searchQueryYesGenerate a search query for 21st.dev (library for searching UI components) to find a UI component that matches the user's message. Must be a two-four words max or phrase
standaloneRequestQueryYesYou need to formulate what component user wants to create, based on his message, possbile chat histroy and a place where he makes the request.Extract additional context about what should be done to create a ui component/page based on the user's message, search query, and conversation history, files. Don't halucinate and be on point.
absolutePathToCurrentFileYesAbsolute path to the current file to which we want to apply changes
absolutePathToProjectDirectoryYesAbsolute path to the project root directory
Install Server

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does useful work: it discloses that the tool ONLY returns a text snippet and requires the agent to edit or add files afterward. This is important behavioral context beyond the schema.

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?

Three short sentences: trigger, output scope, and follow-up action. Each sentence earns its place and the most decision-relevant information is front-loaded.

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 builder with no output schema or annotations, it explains what the tool returns and the required integration step. It lacks explicit sibling exclusions and return-shape detail, but the schema covers parameters and the trigger guidance is sufficient for selection.

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 description coverage is 100%, so the schema already documents all five parameters. The description does not repeat parameter details but also does not add meaning beyond the schema, which is the expected baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a clear verb+resource: building new UI components, with concrete examples such as button, input, dialog, and form. It is clear about what the tool does but does not explicitly differentiate it from sibling tools like 21st_magic_component_inspiration or 21st_magic_component_refiner.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit 'use this tool when' trigger and lists example request patterns. It does not spell out when to prefer the inspiration or refiner siblings, so it stops short of full when/when-not guidance.

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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