ai-tools-setup

Set up AI Tools and Function Calling

Create comprehensive AI tool integrations with the Vercel AI SDK for: $ARGUMENTS

Current Project Analysis

Existing tool implementations: !grep -r "import.*tool" . --include="*.ts" --include="*.tsx" | head -5

API integrations: !grep -r "fetch\|axios" . --include="*.ts" | head -5

Database setup: !find . -name "*schema*" -o -name "*db*" -o -name "*database*" | grep -v node_modules | head -5

Tool Type Requirements

Simple Tools: Basic utility functions (calculator, formatter, validator) Database Tools: Safe database queries, data retrieval, analytics API Tools: External service integrations, webhooks, data fetching Multimodal Tools: Image processing, document analysis, file handling Agent Tools: Complex workflows, multi-step operations, decision making

Your Task

1. Analyze the project needs and identify appropriate tool types
2. Design tool schemas with proper Zod validation
3. Implement secure execution logic with error handling
4. Set up proper authentication and authorization
5. Add comprehensive input validation and sanitization
6. Implement rate limiting and usage monitoring
7. Create tool testing suite for reliability
8. Document tool usage and examples

Implementation Guidelines

Tool Definition Patterns

// Basic tool structure
const toolName = tool({
  description: 'Clear description of what the tool does',
  inputSchema: z.object({
    param: z.string().describe('Parameter description'),
  }),
  execute: async ({ param }) => {
    // Implementation with proper error handling
    try {
      const result = await performOperation(param);
      return { success: true, data: result };
    } catch (error) {
      return { success: false, error: error.message };
    }
  },
});

Security Considerations

• Input validation and sanitization
• Authentication and authorization checks
• Rate limiting and abuse prevention
• Secure API key management
• Output filtering and validation
• Audit logging for sensitive operations