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21st_magic_component_inspiration

Discover and fetch JSON data for UI components from 21st.dev to inspire or integrate into your codebase. Use this tool to search for matching components, preview snippets, and streamline UI development.

Instructions

"Use this tool when the user wants to see component, get inspiration, or /21st fetch data and previews from 21st.dev. This tool returns the JSON data of matching components without generating new code. 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
searchQueryYesSearch 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

Implementation Reference

  • The async execute method implements the tool's core logic: sends user message and search query to the 21st.dev API (/api/fetch-ui) via twentyFirstClient and returns the fetched UI component text as MCP content.
    async execute({ message, searchQuery }: z.infer<typeof this.schema>) {
      try {
        const { data } = await twentyFirstClient.post<FetchUiResponse>(
          "/api/fetch-ui",
          {
            message,
            searchQuery,
          }
        );
    
        return {
          content: [
            {
              type: "text" as const,
              text: data.text,
            },
          ],
        };
      } catch (error) {
        console.error("Error executing tool", error);
        throw error;
      }
    }
  • Zod input schema defining 'message' (full user message) and 'searchQuery' (concise 2-4 word search phrase for UI components on 21st.dev).
    schema = z.object({
      message: z.string().describe("Full users message"),
      searchQuery: z
        .string()
        .describe(
          "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"
        ),
    });
  • src/index.ts:13-17 (registration)
    Registers the FetchUiTool ("21st_magic_component_inspiration") alongside other tools with the MCP server instance.
    // Register tools
    new CreateUiTool().register(server);
    new LogoSearchTool().register(server);
    new FetchUiTool().register(server);
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns JSON data without generating new code and only returns text snippets, which clarifies its read-only nature and output format. However, it doesn't address potential limitations like rate limits, authentication needs, or error handling, leaving gaps in behavioral understanding for a tool with no annotation coverage.

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 relatively concise with three sentences that convey key information: when to use the tool, what it returns, and a post-call action. However, the first sentence is somewhat redundant ('see component, get inspiration, or /21st fetch data'), and the structure could be more front-loaded by immediately stating the core purpose. Overall, it's efficient but not perfectly streamlined.

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 no annotations, no output schema, and 2 parameters with full schema coverage, the description provides basic context: it specifies the tool's purpose, output format (JSON data/text snippets), and a required post-call action. However, it lacks details on error cases, response structure, or integration examples, making it incomplete for a tool that fetches external data without structured output documentation.

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, providing clear details for both parameters ('message' and 'searchQuery'). The description adds no additional parameter semantics beyond what the schema already documents, such as explaining how these parameters interact or their impact on results. This meets the baseline score of 3, as the schema adequately covers parameter information.

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

Purpose3/5

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

The description states the tool fetches data and previews from 21st.dev and returns JSON data of matching components, which clarifies its purpose. However, it doesn't clearly differentiate from sibling tools like '21st_magic_component_builder' or 'logo_search', leaving ambiguity about when to use each. The phrase 'see component, get inspiration, or /21st fetch data' is somewhat vague rather than specific.

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 minimal guidance: 'Use this tool when the user wants to see component, get inspiration, or /21st fetch data and previews from 21st.dev.' It doesn't specify when to use this tool versus alternatives like '21st_magic_component_builder' or 'logo_search', nor does it mention any exclusions or prerequisites. This lack of comparative context limits its effectiveness in guiding tool selection.

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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