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Building Custom Tools

Master tool design, implementation, testing, and deployment for production AI agents

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Validating and Shipping Your Tool

A tool is only as good as its tests. Before deploying to production, validate behavior across unit tests, integration tests, edge cases, and performance benchmarks.

Interactive: Test Suite Simulator

Test individual tool functions in isolation
Test Cases:
  • ✓Valid input returns expected output
  • ✓Invalid input throws correct error
  • ✓Edge cases handled properly
  • ✓Default parameters work correctly
test('get_weather returns data for valid city', async () => {
  const result = await getWeather({ city: 'Tokyo' })
  expect(result).toHaveProperty('temperature')
  expect(result.units).toBe('celsius')
})

test('get_weather throws error for empty city', async () => {
  await expect(getWeather({ city: '' }))
    .rejects.toThrow('City parameter is required')
})

Deployment Process

📦
Version Control
Commit tested code to repository
📝
Register Tool
Add to agent tool registry
🔒
Set Permissions
Configure access controls
📊
Monitor Usage
Track performance and errors
🔄
Iterate
Improve based on real usage

Production Best Practices

📊
Monitor Everything
Track success rate, latency, errors, and usage patterns
🔒
Secure by Default
Validate permissions, sanitize inputs, protect sensitive data
⚡
Optimize Performance
Cache results, batch requests, use connection pooling
🔄
Version Your Tools
Track changes, support deprecation, enable rollbacks
←Implementation