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Tools Overview

Tools are the building blocks that give your agents the ability to interact with external systems, process data, and perform complex operations. PLai Framework supports 6 different tool types, each designed for specific use cases.

Available Tool Types

Tool Status Levels

Understanding tool maturity helps you make informed decisions:
  • Production Ready: Thoroughly tested and stable
  • Full Support: Complete documentation and support
  • All Plans: Available on all subscription tiers
  • Examples: API Request, Browser Tools

Tool Categories

Communication Tools

Tools that enable agents to interact with external services and APIs:
Purpose: Connect to any REST API endpointKey Features:
  • Custom HTTP methods (GET, POST, PUT, DELETE)
  • Flexible header configuration
  • Request body templating
  • Response parsing and handling
Use Cases:
  • CRM integration (Salesforce, HubSpot)
  • Payment processing (Stripe, PayPal)
  • Notification services (Slack, Discord)
  • Custom internal APIs
Purpose: Web search and research capabilitiesKey Features:
  • Multiple model options (Sonar, Sonar Pro, Sonar Reasoning)
  • Domain-specific search filtering
  • Real-time web information
  • Citation and source tracking
Use Cases:
  • Market research
  • News and current events
  • Fact-checking
  • Competitive analysis

Processing Tools

Tools that enable data processing and code execution:
Purpose: Web scraping and browser automationKey Features:
  • ScraperAPI integration for reliable scraping
  • JavaScript rendering support
  • Beautiful Soup for HTML parsing
  • Rate limiting and proxy support
Use Cases:
  • Price monitoring
  • Content extraction
  • Website testing
  • Data collection
Purpose: Execute code in secure environmentsKey Features:
  • Multiple language support
  • Sandboxed execution
  • File system access
  • Output capture and formatting
Use Cases:
  • Data analysis
  • Mathematical calculations
  • Report generation
  • Algorithm implementation

Data Tools

Tools that provide access to external data sources:
Purpose: Connect to databases and data sourcesKey Features:
  • Multiple database support (SQL, NoSQL)
  • Secure connection management
  • Query optimization
  • Real-time data access
Use Cases:
  • Customer data lookup
  • Inventory management
  • Analytics and reporting
  • Data synchronization
Purpose: Model Context Protocol server integrationKey Features:
  • Standardized protocol support
  • OAuth and token authentication
  • Remote server connections
  • Extensible architecture
Use Cases:
  • Custom tool development
  • Enterprise integrations
  • Third-party service connections
  • Distributed architectures

Tool Configuration

General Configuration Process

All tools follow a similar configuration pattern:
1

Select Tool Type

Choose the appropriate tool type for your use case
2

Configure Parameters

Fill in required and optional configuration parameters
3

Test Connection

Verify the tool works correctly with test inputs
4

Add to Agent

Assign the tool to one or more agents
5

Monitor Usage

Track tool performance and usage through analytics

Common Configuration Options

Most tools share these configuration elements:
  • Name: Human-readable identifier for the tool
  • Description: Purpose and functionality summary
  • Authentication: API keys, tokens, or credentials
  • Rate Limits: Request throttling and usage controls
  • Error Handling: Retry logic and fallback options
  • Logging: Activity tracking and debugging info

Tool Security

Authentication Methods

API Keys

Simple key-based authentication for most APIs

OAuth 2.0

Secure token-based authentication for enterprise APIs

Basic Auth

Username/password authentication for legacy systems

Security Best Practices

Credential Security: Never expose API keys or credentials in tool descriptions or logs.
Environment Variables: Use environment variables or secure vaults for sensitive credentials.
  • Rotate Credentials: Regularly update API keys and access tokens
  • Minimal Permissions: Grant only necessary permissions to tools
  • Monitor Usage: Track tool usage for unusual activity
  • Audit Logs: Maintain logs of all tool interactions

Performance Optimization

Caching Strategies

Tools can implement various caching mechanisms:

Rate Limiting

Effective rate limiting strategies:
  • Tool-Level Limits: Per-tool rate limiting
  • Agent-Level Limits: Per-agent usage controls
  • Organization-Level Limits: Global usage caps
  • Dynamic Adjustment: Automatic limit adjustment based on usage

Troubleshooting

Common Issues

Symptoms: 401 or 403 errors, access denied messagesSolutions:
  • Verify API keys and credentials
  • Check permission scopes
  • Confirm rate limits haven’t been exceeded
  • Review authentication method configuration
Symptoms: Request timeout errors, slow responsesSolutions:
  • Check network connectivity
  • Increase timeout values
  • Implement retry logic
  • Use connection pooling
Symptoms: Parsing errors, unexpected responsesSolutions:
  • Validate request/response formats
  • Check API documentation
  • Update tool configuration
  • Implement proper error handling

Tool Development

Custom Tool Creation

While PLai Framework provides built-in tools, you can extend functionality:
  1. MCP Server Development: Create custom MCP servers for specialized functionality
  2. API Wrapper Tools: Build tools that interact with specific APIs
  3. Data Processing Tools: Develop tools for custom data transformations
  4. Integration Tools: Create tools for enterprise system integration

Tool Testing

Comprehensive testing ensures tool reliability:
// Example tool test
describe('API Request Tool', () => {
  test('should make successful GET request', async () => {
    const tool = new APIRequestTool(config);
    const result = await tool.execute({
      method: 'GET',
      url: 'https://api.example.com/data'
    });
    
    expect(result.status).toBe(200);
    expect(result.data).toBeDefined();
  });
});

Next Steps