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emmron
by emmron

mcp__gemini__generate_component

Create UI components for React, Vue, Angular, or Svelte by specifying the name, framework, styling, and features. Simplifies frontend development with tailored component generation.

Instructions

Generate UI components for React, Vue, Angular, Svelte

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
featuresNoComponent features
frameworkNoFrameworkreact
nameYesComponent name
stylingNoStyling approachcss

Implementation Reference

  • The main handler function that implements the tool logic: destructures arguments, validates input, constructs an AI prompt for component generation, calls the AI client, and formats the response.
        handler: async (args) => {
          const { name, framework = 'react', styling = 'css', features = '' } = args;
          validateString(name, 'component name');
          
          const prompt = `Generate a ${framework} component named "${name}" with ${styling} styling.
          
    Features: ${features}
    
    Provide:
    1. Complete component code
    2. Proper imports and exports  
    3. TypeScript if applicable
    4. Basic styling
    5. Usage example`;
    
          const result = await aiClient.call(prompt, 'coding');
          return `🎨 **${framework.toUpperCase()} Component Generated**\n\n${result}`;
        }
  • The tool's input schema definition including description and parameters for name (required), framework, styling, and features.
    'mcp__gemini__generate_component': {
      description: 'Generate UI components for React, Vue, Angular, Svelte',
      parameters: {
        name: { type: 'string', description: 'Component name', required: true },
        framework: { type: 'string', description: 'Framework', default: 'react' },
        styling: { type: 'string', description: 'Styling approach', default: 'css' },
        features: { type: 'string', description: 'Component features' }
      },
  • Registers all tools from the codeTools module (which contains mcp__gemini__generate_component) into the central ToolRegistry via registerToolsFromModule.
    // Register additional tools from modules
    this.registerToolsFromModule(codeTools);
    this.registerToolsFromModule(analysisTools);
    this.registerToolsFromModule(enhancedTools);
    this.registerToolsFromModule(businessTools);
    this.registerToolsFromModule(licenseTools);
  • Imports the codeTools object containing the generate_component tool definition.
    import { codeTools } from './code-tools.js';
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 of behavioral disclosure. It states the tool generates UI components but doesn't describe what that entails—e.g., whether it creates full files, snippets, or templates; if it requires specific inputs beyond parameters; or any limitations like token counts or quality. This leaves significant gaps for a generative 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?

The description is a single, efficient sentence: 'Generate UI components for React, Vue, Angular, Svelte'. It's front-loaded with the core action and resource, with no wasted words, making it easy to parse quickly.

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?

Given the complexity of a generative tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, output format, error handling, or constraints, which are crucial for an AI agent to use it effectively. The high schema coverage helps but doesn't compensate for missing behavioral context.

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 parameters (name, framework, features, styling) with descriptions and defaults. The description adds no additional meaning beyond implying these parameters relate to UI component generation, matching the baseline for high schema coverage.

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 clearly states the tool's purpose: 'Generate UI components for React, Vue, Angular, Svelte'. It specifies the verb ('Generate') and resource ('UI components'), and lists the supported frameworks. However, it doesn't explicitly differentiate from sibling tools like 'generate_api' or 'refactor_genius', which might also involve code generation.

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 doesn't mention prerequisites, context for choosing among the frameworks, or how it differs from other code-generation siblings like 'generate_api'. Usage is implied by the name and purpose but not explicitly stated.

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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