Provides tools for creating, executing, and validating TestCafe tests, as well as agentic browser control with persistent sessions and snapshot-based interactions.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@TestCafe MCP Server Create a TestCafe test to log in to the admin panel"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A comprehensive Model Context Protocol (MCP) server that bridges AI assistants with TestCafe testing capabilities, enabling AI-driven browser automation and test creation. Provides 17 MCP tools including agentic browser control with the snapshot → ref → act pattern.
Test Creation: Generate TestCafe tests from structured input or natural language descriptions
Test Execution: Run tests with real browser automation and comprehensive reporting
Test Validation: Validate test code syntax, structure, and best practices
Browser Interaction: Perform real-time browser interactions with live feedback
Page Inspection: Analyze web pages, discover elements, and suggest optimal selectors
Persistent Browser Session: One headless browser stays open across tool calls — no re-launching per action
Snapshot → Ref → Act Pattern: Get an accessibility tree with element refs, then click/type/interact by ref
7 Granular Tools: browser_navigate, browser_snapshot, browser_click, browser_type, browser_press_key, browser_evaluate, browser_take_screenshot
Real Browser Integration: Execute actions in actual browser instances
Screenshot & Video Recording: Capture test execution with visual artifacts
Live Element Discovery: Inspect pages in real-time to find interactive elements
Intelligent Selector Suggestions: AI-powered selector recommendations
Comprehensive Error Reporting: Detailed error analysis and troubleshooting
Related MCP server: testing-mcp
Node.js >= 18.0.0
npm or yarn package manager
# Clone and install
git clone <repository-url>
cd testcafe-mcp-server
npm install
# Build the project
npm run build
# Start the server
npm start# Install dependencies
npm install
# Run in development mode
npm run dev
# Run tests
npm test
# Run tests in watch mode
npm test:watch
# Lint code
npm run lint
npm run lint:fixAdd to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"testcafe": {
"command": "node",
"args": ["./dist/index.js"],
"cwd": "/path/to/testcafe-mcp-server"
}
}
}Add to your Continue configuration (.continue/config.json):
{
"mcpServers": [
{
"name": "testcafe",
"serverPath": "/path/to/testcafe-mcp-server/dist/index.js"
}
]
}For other MCP clients, use the standard MCP server configuration format:
{
"servers": {
"testcafe": {
"command": "node",
"args": ["./dist/index.js"],
"cwd": "/path/to/testcafe-mcp-server",
"env": {
"NODE_ENV": "production",
"DEBUG": "testcafe:*"
}
}
}
}The server accepts configuration through environment variables or a config file:
// config.json
{
"server": {
"name": "testcafe-mcp-server",
"version": "1.0.0",
"debug": false
},
"testcafe": {
"browsers": [
{
"name": "chrome",
"headless": true,
"args": ["--no-sandbox", "--disable-dev-shm-usage"]
}
],
"timeout": 30000,
"speed": 1,
"concurrency": 1,
"quarantineMode": false,
"skipJsErrors": true,
"skipUncaughtErrors": true,
"stopOnFirstFail": false
}
}Create TestCafe test files from structured input.
Input Schema:
{
testStructure: {
fixture: string;
url?: string;
tests: Array<{
name: string;
actions: Array<{
type: 'navigate' | 'click' | 'type' | 'wait' | 'assert';
selector?: string;
value?: string;
timeout?: number;
}>;
}>;
};
outputPath?: string;
validate?: boolean;
}Example Usage:
// Create a login test
{
"testStructure": {
"fixture": "User Login",
"url": "https://example.com/login",
"tests": [{
"name": "should login successfully",
"actions": [
{ "type": "type", "selector": "#username", "value": "testuser" },
{ "type": "type", "selector": "#password", "value": "password123" },
{ "type": "click", "selector": "#login-btn" },
{ "type": "assert", "selector": ".welcome-message" }
]
}]
},
"outputPath": "./tests/login.test.js",
"validate": true
}Execute TestCafe tests with comprehensive options.
Input Schema:
{
testPath?: string;
testCode?: string;
browsers?: string[];
reporter?: 'spec' | 'json' | 'minimal' | 'xunit' | 'list';
screenshots?: boolean;
screenshotPath?: string;
video?: boolean;
videoPath?: string;
concurrency?: number;
speed?: number;
timeout?: number;
quarantine?: boolean;
stopOnFirstFail?: boolean;
filter?: {
test?: string;
fixture?: string;
testGrep?: string;
fixtureGrep?: string;
};
}Example Usage:
// Execute test with screenshots
{
"testPath": "./tests/login.test.js",
"browsers": ["chrome:headless", "firefox:headless"],
"screenshots": true,
"screenshotPath": "./screenshots",
"reporter": "spec",
"concurrency": 2
}Validate TestCafe test code and structure.
Input Schema:
{
source: {
type: 'file' | 'code' | 'structure';
content: string | TestStructure;
};
validationLevel?: 'basic' | 'comprehensive' | 'strict';
checkBestPractices?: boolean;
}Perform browser interactions with real-time execution.
Input Schema:
{
actions: Array<{
type: 'click' | 'type' | 'navigate' | 'wait' | 'assert';
selector?: string;
text?: string;
url?: string;
// ... action-specific options
}>;
generateTest?: boolean;
executeLive?: boolean;
browser?: string;
url?: string;
screenshots?: boolean;
}Example Usage:
// Perform live browser interactions
{
"actions": [
{ "type": "navigate", "url": "https://example.com" },
{ "type": "click", "selector": "#menu-button" },
{ "type": "type", "selector": "#search-input", "text": "TestCafe" },
{ "type": "click", "selector": "#search-submit" }
],
"executeLive": true,
"browser": "chrome",
"screenshots": true,
"generateTest": true,
"outputPath": "./generated-test.js"
}Analyze web pages and discover elements.
Input Schema:
{
operation: 'analyze' | 'discover' | 'suggest-selectors' | 'generate-code';
target: {
type: 'url' | 'current-page' | 'element' | 'element-info';
url?: string;
selector?: string;
elementInfo?: ElementInfo;
};
options?: {
includeHidden?: boolean;
includeText?: boolean;
includeAttributes?: boolean;
};
executeLive?: boolean;
browser?: string;
screenshots?: boolean;
}Tool | Description |
| Capture browser console logs (errors, warnings, info, debug) |
| Return the accessibility tree of a web page |
| List, create, close, or switch browser tabs |
| Capture network requests and responses for debugging |
| Capture and handle native browser dialogs (alert, confirm, prompt) |
These tools provide a persistent browser session with the snapshot → ref → act pattern — the same approach used by Playwright MCP. One headless browser stays open across all tool calls, enabling multi-step agentic workflows.
How it works:
browser_navigate — open a URL in the persistent browser
browser_snapshot — get an accessibility tree with ref IDs on interactive elements
browser_click / browser_type / browser_press_key — act on elements using their ref
browser_evaluate — run arbitrary JavaScript in the browser
browser_take_screenshot — capture a PNG/JPEG screenshot
Navigate to a URL in the persistent browser session.
{ "url": "https://example.com" }Capture an accessibility snapshot of the current page. Returns a formatted text tree with ref IDs on interactive elements. Use these refs with other browser_* tools.
{}Example output:
Page: Example (https://example.com)
- banner
- navigation "Main"
- link "Home" [ref=e1]
- link "About" [ref=e2]
- main
- heading "Welcome" [level=1] [ref=e3]
- searchbox "Search" [ref=e4]
- button "Go" [ref=e5]Click an element by its snapshot ref.
{ "ref": "e5", "element": "Go button" }Type text into an element by its snapshot ref.
{ "ref": "e4", "text": "search query", "submit": true }Press a keyboard key (e.g. enter, tab, escape, backspace).
{ "key": "enter" }Evaluate a JavaScript expression in the browser context.
{ "function": "document.title" }Take a screenshot of the current page. Returns the image as base64.
{ "type": "png", "fullPage": false }// Step 1: Navigate
await mcpClient.callTool('browser_navigate', { url: 'https://en.wikipedia.org' });
// Step 2: Get page snapshot with element refs
const snapshot = await mcpClient.callTool('browser_snapshot', {});
// Returns tree with refs like: searchbox "Search Wikipedia" [ref=e5]
// Step 3: Type into the search box using its ref
await mcpClient.callTool('browser_type', {
ref: 'e5', text: 'TestCafe', submit: true
});
// Step 4: Take a new snapshot of the results page
const results = await mcpClient.callTool('browser_snapshot', {});
// Step 5: Click a result link
await mcpClient.callTool('browser_click', { ref: 'e12' });
// Step 6: Get the page title
const title = await mcpClient.callTool('browser_evaluate', {
function: 'document.title'
});// Ask AI: "Create a test for the login form on example.com"
// The AI will use these MCP tools automatically:
// Step 1: Inspect the page structure
const pageAnalysis = await mcpClient.callTool('inspect_page', {
operation: 'analyze',
target: { type: 'url', url: 'https://example.com/login' },
executeLive: true,
browser: 'chrome:headless'
});
// Step 2: Create test based on discovered elements
const testResult = await mcpClient.callTool('create_test', {
testStructure: {
fixture: 'Login Flow Tests',
url: 'https://example.com/login',
tests: [{
name: 'should login with valid credentials',
actions: [
{ type: 'type', selector: '#username', value: 'testuser' },
{ type: 'type', selector: '#password', value: 'password123' },
{ type: 'click', selector: '#login-button' },
{ type: 'wait', condition: 'element', value: '.dashboard' },
{ type: 'assert', selector: '.welcome-message' }
]
}]
},
outputPath: './tests/login.test.js',
validate: true
});
// Step 3: Execute the test with comprehensive reporting
const executionResult = await mcpClient.callTool('execute_test', {
testPath: './tests/login.test.js',
browsers: ['chrome:headless', 'firefox:headless'],
screenshots: true,
screenshotPath: './test-screenshots',
video: true,
videoPath: './test-videos',
reporter: 'spec'
});// Ask AI: "Help me explore this website and create tests interactively"
// Live browser interaction with test generation
const interactionResult = await mcpClient.callTool('interact', {
actions: [
{ type: 'navigate', url: 'https://example.com/shop' },
{ type: 'type', selector: '#search', text: 'laptop' },
{ type: 'click', selector: '#search-btn' },
{ type: 'wait', condition: 'element', value: '.search-results' },
{ type: 'click', selector: '.product:first-child' },
{ type: 'click', selector: '#add-to-cart' },
{ type: 'assert', selector: '.cart-notification' }
],
executeLive: true,
browser: 'chrome',
screenshots: true,
generateTest: true,
testName: 'Product Search and Add to Cart',
outputPath: './tests/shopping.test.js'
});// Ask AI: "Analyze this page and suggest the best selectors for testing"
// Comprehensive page analysis
const pageAnalysis = await mcpClient.callTool('inspect_page', {
operation: 'analyze',
target: { type: 'url', url: 'https://example.com/form' },
executeLive: true,
options: {
includeHidden: false,
includeText: true,
includeAttributes: true,
filterByTag: ['form', 'input', 'button', 'select']
}
});
// Get selector suggestions for specific elements
const selectorSuggestions = await mcpClient.callTool('inspect_page', {
operation: 'suggest-selectors',
target: {
type: 'element-info',
elementInfo: {
tagName: 'BUTTON',
id: 'submit-btn',
className: 'btn btn-primary',
text: 'Submit Form',
attributes: { 'data-testid': 'submit-button' }
}
}
});// Complete e-commerce testing workflow
const ecommerceTests = await mcpClient.callTool('create_test', {
testStructure: {
fixture: 'E-commerce User Journey',
url: 'https://shop.example.com',
beforeEach: [
{ type: 'navigate', value: 'https://shop.example.com' }
],
tests: [
{
name: 'User can search and filter products',
actions: [
{ type: 'type', selector: '#search-input', value: 'wireless headphones' },
{ type: 'click', selector: '#search-button' },
{ type: 'wait', condition: 'element', value: '.search-results' },
{ type: 'click', selector: '#filter-brand-sony' },
{ type: 'wait', condition: 'element', value: '.filtered-results' },
{ type: 'assert', selector: '.product-count' }
]
},
{
name: 'User can add product to cart and checkout',
actions: [
{ type: 'click', selector: '.product-item:first-child' },
{ type: 'wait', condition: 'element', value: '.product-details' },
{ type: 'click', selector: '#add-to-cart' },
{ type: 'wait', condition: 'element', value: '.cart-notification' },
{ type: 'click', selector: '#cart-icon' },
{ type: 'click', selector: '#checkout-button' },
{ type: 'assert', selector: '.checkout-form' }
]
}
]
},
outputPath: './tests/ecommerce-journey.test.js'
});// Comprehensive form testing
const formTests = await mcpClient.callTool('create_test', {
testStructure: {
fixture: 'Contact Form Validation',
url: 'https://example.com/contact',
tests: [
{
name: 'should validate required fields',
actions: [
{ type: 'click', selector: '#submit-button' },
{ type: 'assert', selector: '.error-name' },
{ type: 'assert', selector: '.error-email' },
{ type: 'assert', selector: '.error-message' }
]
},
{
name: 'should validate email format',
actions: [
{ type: 'type', selector: '#email', value: 'invalid-email' },
{ type: 'click', selector: '#submit-button' },
{ type: 'assert', selector: '.error-email-format' }
]
},
{
name: 'should submit valid form successfully',
actions: [
{ type: 'type', selector: '#name', value: 'John Doe' },
{ type: 'type', selector: '#email', value: 'john@example.com' },
{ type: 'type', selector: '#message', value: 'Test message' },
{ type: 'click', selector: '#submit-button' },
{ type: 'wait', condition: 'element', value: '.success-message' },
{ type: 'assert', selector: '.success-message' }
]
}
]
},
outputPath: './tests/form-validation.test.js'
});// Start an interactive session
const interactionResult = await mcpClient.callTool('interact', {
actions: [
{ type: 'navigate', url: 'https://example.com' },
{ type: 'click', selector: '#explore-button' },
{ type: 'wait', condition: 'element', value: '.content-loaded' }
],
executeLive: true,
browser: 'chrome',
screenshots: true,
generateTest: true,
outputPath: './exploration-test.js'
});// Discover elements on a page
const discoveryResult = await mcpClient.callTool('inspect_page', {
operation: 'discover',
target: { type: 'url', url: 'https://example.com/form' },
executeLive: true,
options: { includeHidden: false }
});
// Get selector suggestions for a specific element
const selectorResult = await mcpClient.callTool('inspect_page', {
operation: 'suggest-selectors',
target: {
type: 'element-info',
elementInfo: {
tagName: 'BUTTON',
id: 'submit-btn',
className: 'btn btn-primary',
text: 'Submit Form',
attributes: { type: 'submit', class: 'btn btn-primary' },
// ... other properties
}
}
});# Install required dependencies for headless Chrome
sudo apt-get update
sudo apt-get install -y chromium-browser
# For Docker environments
docker run --cap-add=SYS_ADMIN --shm-size=2g your-image# Ensure proper permissions for screenshot/video directories
mkdir -p ./screenshots ./videos
chmod 755 ./screenshots ./videos// Reduce concurrency for resource-constrained environments
{
"concurrency": 1,
"speed": 0.5,
"timeout": 60000
}Enable debug logging:
DEBUG=testcafe:* npm startOr set in configuration:
{
"server": { "debug": true },
"testcafe": { "debugMode": true }
}// Configure browser instance pooling
{
"testcafe": {
"concurrency": 3,
"reuseInstances": true,
"instanceTimeout": 300000
}
}// Optimize for CI/CD environments
{
"testcafe": {
"browsers": [{
"name": "chrome",
"headless": true,
"args": [
"--no-sandbox",
"--disable-dev-shm-usage",
"--disable-gpu",
"--memory-pressure-off"
]
}],
"speed": 1,
"timeout": 30000,
"skipJsErrors": true
}
}npm testnpm run test:integrationnpm run test:realThe server includes built-in performance monitoring:
Test execution times
Browser launch metrics
Memory usage tracking
Error rate monitoring
Access metrics through the debug interface or logs.
Fork the repository
Create a feature branch
Make your changes
Add tests for new functionality
Ensure all tests pass
Submit a pull request
Follow TypeScript strict mode
Maintain test coverage above 80%
Use ESLint configuration
Document all public APIs
Include examples for new features
MIT License - see LICENSE file for details.
TestCafe - End-to-end testing framework
Model Context Protocol - Protocol for AI tool integration
API Reference - Detailed API documentation with examples
Claude Desktop Integration - Configuration for Claude Desktop
Continue.dev Integration - VS Code integration with Continue.dev
Basic Examples - Simple usage examples and getting started
Advanced Testing Patterns - Sophisticated testing workflows
MCP Integration Example - Complete MCP client implementation
API Tools - Available MCP tools reference
Configuration - Configure your MCP client
Examples - Usage examples and patterns
We welcome contributions! Here's how to get started:
# Fork and clone the repository
git clone https://github.com/your-username/testcafe-mcp.git
cd testcafe-mcp-server
# Install dependencies
npm install
# Run in development mode
npm run dev
# Run tests
npm testFork the repository and create a feature branch
Write tests for new functionality (maintain >80% coverage)
Follow code style - use ESLint configuration
Update documentation for API changes
Test thoroughly across different platforms
Submit a pull request with clear description
Follow TypeScript strict mode
Use ESLint and Prettier for code formatting
Write comprehensive tests for all new features
Document all public APIs with JSDoc
Include examples for new functionality
Ensure cross-platform compatibility
When reporting bugs, please include:
Operating system and version
Node.js version
Browser versions
Complete error messages
Steps to reproduce
Expected vs actual behavior
Perform click on a web page
| Name | Required | Description | Default |
|---|---|---|---|
| ref | Yes | ||
| button | No | ||
| element | No | ||
| doubleClick | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavioral traits, but it only says 'Perform click'. It omits critical details like whether the click waits for elements, scrolls into view, or triggers events. This is insufficient for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, but it sacrifices necessary detail for brevity. It is under-informative rather than effectively concise. A well-structured description would be front-loaded with the action and then elaborate on key aspects.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 4 parameters and no output schema, the description is vastly incomplete. It does not explain return values, side effects, or required conditions. For a tool of this complexity, far more detail is expected.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the tool description provides no explanation for any parameter. The meaning of 'ref', 'element', and 'doubleClick' are left entirely to inference, making correct parameter use nearly impossible without external context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action (click) and resource (web page), which is clear but lacks specificity. It does not differentiate from sibling tools like 'interact' or 'browser_type'. A more specific description would improve clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, prerequisites, or typical usage scenarios. For example, it doesn't mention that a page must be already loaded or that ref might be an element selector.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Evaluate JavaScript expression on page or element
| Name | Required | Description | Default |
|---|---|---|---|
| ref | No | ||
| element | No | ||
| function | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations; description only states core function. Running arbitrary JS can have side effects (e.g., mutations), but no disclosure. Score reflects missing behavioral warnings.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Concisely one sentence, but lacks structure and depth for a potentially dangerous tool. Could be expanded without bloat.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, incomplete parameter info, and complex tool (JS evaluation) needs more context (e.g., return value, scope, await behavior). Under-specified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
3 params with 0% schema description coverage; description fails to explain 'ref' and 'element' roles, only mentions evaluating JS expression. Does not compensate for schema gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states evaluating JavaScript expression on page or element, distinguishing it from sibling tools like browser_click or browser_navigate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this vs alternatives (e.g., InspectPage). Lacks context on prerequisites or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Press a key on the keyboard
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior, but it only states 'Press a key on the keyboard' without detailing whether it supports modifiers, global vs. focused element, or key release. This minimal information does not adequately inform the agent about side effects or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at one sentence, which is efficient but sacrifices clarity. While there is no fluff, the lack of detail makes it minimally viable rather than well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (one parameter, no output schema), the description is still incomplete. It does not explain what the key parameter expects, how the tool interacts with the browser, or what the outcome is, leaving significant gaps for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one required 'key' parameter with no description, and the tool description adds no meaning about valid values (e.g., key names like 'Enter' or 'a'). With 0% schema description coverage, the description fails to compensate, leaving the agent uncertain about acceptable input.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Press a key on the keyboard' clearly states the action (press) and resource (key on keyboard), distinguishing it from sibling tools like browser_click (clicking) and browser_type (typing text). However, it could be more precise by specifying that it simulates a single key press, but the core purpose is evident.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like browser_type or browser_click. There is no mention of prerequisites, key combinations, or typical scenarios, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Capture accessibility snapshot of the current page, this is better than screenshot
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as permissions, side effects, or what the snapshot entails beyond 'capture'.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no superfluous words, achieving maximum conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite simplicity, the description lacks context about what an accessibility snapshot is, its output format, and how it differs from the sibling tool get_accessibility_snapshot.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters with 100% coverage, so no parameter explanation is needed. The description adds no parameter semantics but is not required to.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it captures an accessibility snapshot, but fails to differentiate from the sibling tool 'get_accessibility_snapshot' which likely serves a similar purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'this is better than screenshot' gives a vague preference but no explicit guidance on when to use this tool versus alternatives like get_accessibility_snapshot or browser_take_screenshot.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Manage browser tabs/windows - list all open tabs, create new tabs, close tabs, and switch between tabs. Note: TestCafe manages windows rather than traditional tabs, but the functionality is similar.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| tabId | No | ||
| browser | No | ||
| timeout | No | ||
| operation | Yes | ||
| waitForLoad | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It mentions the operations but does not describe side effects (e.g., what happens when closing a tab), prerequisites (e.g., whether a browser must be open), or any warnings. The transparency is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences. The first sentence efficiently lists the main actions. The second adds a contextual note. However, it could be more structured (e.g., bullet points) to improve readability for an AI agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (6 parameters, no output schema), the description is incomplete. It fails to explain parameter dependencies (e.g., which params are needed for each operation) or return value format, leaving significant gaps for an agent to infer correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 6 parameters with 0% description coverage (no descriptions in schema). The tool description only implicitly references the 'operation' parameter via the listed actions. It does not explain the meaning or usage of 'url', 'tabId', 'browser', 'timeout', or 'waitForLoad', leaving the agent with little semantic guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: managing browser tabs/windows with specific operations (list, create, close, switch). It distinguishes from sibling tools like browser_navigate (navigation) and browser_click (interaction) by focusing on tab/window management.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes a note about TestCafe managing windows instead of tabs, which provides some context but lacks explicit guidance on when to use this tool versus alternatives or which operation to apply in different scenarios. No clear when-to-use or when-not-to-use instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| filename | No | ||
| fullPage | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses a key behavioral limitation (cannot perform actions on the screenshot) but does not elaborate on other aspects like file handling or effects, which is notable given no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loading the purpose and adding critical usage guidance without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Lacks explanations for parameters and return behavior; given no annotations and no output schema, the description leaves the agent underinformed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameter information is provided in the description, leaving all three parameters with 0% schema coverage entirely unexplained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool takes a screenshot of the current page, and explicitly distinguishes it from browser_snapshot for actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit when-not-to-use guidance and directly references the alternative tool browser_snapshot for action-based interactions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Type text into editable element
| Name | Required | Description | Default |
|---|---|---|---|
| ref | Yes | ||
| text | Yes | ||
| slowly | No | ||
| submit | No | ||
| element | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose whether the element is cleared before typing, whether events are triggered, or if there are any side effects. The behavioral burden is unmet.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely short (5 words), but this conciseness sacrifices essential information. It is under-specified rather than efficiently informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 5 parameters, no output schema, and no annotations, the description is severely incomplete. An agent cannot infer what each parameter does or what the tool returns.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description adds no explanation for any of the 5 parameters. Terms like 'ref', 'slowly', 'submit', and 'element' are undefined, leaving the agent without clues for parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The verb 'type' and resource 'text into editable element' are clear, but 'type' is ambiguous (could mean typing keys one by one or pasting text). It distinguishes from siblings like browser_click and browser_press_key, but not sharply.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like browser_press_key or browser_navigate. The description does not mention prerequisites or typical usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Create a TestCafe test file from structured test definition
| Name | Required | Description | Default |
|---|---|---|---|
| validate | No | ||
| outputPath | No | ||
| testStructure | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full burden. It omits information like overwrite behavior, permission requirements, or default output path. Only states creation of a file.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no fluff, but lacks necessary detail. Could be expanded to include parameter hints or usage notes.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given complex nested parameter and no output schema, description is insufficient. Does not explain return behavior, error scenarios, or the structure of testStructure beyond what's in schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and description adds no meaning for parameters like validate, outputPath, or testStructure. The nested object's properties and purpose are not explained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb 'Create' and resource 'TestCafe test file from structured test definition', which distinguishes it from siblings like execute_test and validate_test.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., execute_test). The description only states what it does, not the context or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Execute TestCafe tests with configurable browsers and options
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose all behavioral traits. It only says 'execute', which implies mutation but doesn't specify side effects, required permissions, return behavior, or whether tests are run synchronously. This is a critical gap for a tool that likely has significant impact.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that front-loads the main action. It earns its place but could be restructured to include more detail without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of test execution and the presence of many sibling tools, the description is too minimal. It doesn't explain output, side effects, error handling, or how it integrates with other tools. No output schema exacerbates this.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is an open object with no defined properties, so schema coverage is essentially 100% but meaningless. The description mentions 'configurable browsers and options' but doesn't specify what parameters are available, their types, or formats. This adds very little meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it executes TestCafe tests with configurable browsers and options. The verb 'execute' and resource 'TestCafe tests' are specific. While it doesn't explicitly differentiate from siblings, the context of sibling tools (create_test, validate_test, etc.) implies its role as a test runner.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like validate_test or interact. The description lacks information about prerequisites, typical use cases, or exclusions, leaving the agent without decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Return the accessibility tree of a web page - structured, LLM-friendly data about page content including roles, labels, and states without requiring vision. Essential for understanding page structure and interactive elements.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| browser | No | ||
| maxDepth | No | ||
| selector | No | ||
| waitTime | No | ||
| excludeRoles | No | ||
| includeRoles | No | ||
| includeHidden | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only mentions 'without requiring vision' as a trait. It does not disclose any side effects, performance characteristics, or limitations (e.g., dynamic content handling, authentication needs).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (two sentences) and front-loads the main purpose. Every word adds value without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 8 parameters and no output schema, the description is far too brief. It lacks instructions on how to use parameters effectively, making it incomplete for complex use cases.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 8 parameters with 0% description coverage, and the tool description does not explain any parameter. Agents have no guidance on what parameters like maxDepth, selector, or includeHidden do.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it returns the accessibility tree (structured, LLM-friendly data) and distinguishes from vision-based tools. However, it does not explicitly differentiate from sibling tools like browser_snapshot or inspect_page.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Essential for understanding page structure and interactive elements' implies usage context, but no explicit when-not-to-use or alternative recommendations are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Capture and retrieve browser console logs (errors, warnings, info, debug) from a web page. Essential for debugging JavaScript issues.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| filter | No | ||
| browser | No | ||
| maxLogs | No | ||
| waitTime | No | ||
| executeScript | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavioral traits. It only states that the tool captures and retrieves logs, but does not clarify whether it opens a browser, whether it is read-only, performance impact, or any limitations. Essential details like permission requirements or side effects are missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief (two sentences) and front-loaded with the primary action. Every word adds value, though the second sentence could be more tightly integrated. No fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (6 parameters, nested object, 0% schema coverage, no output schema, no annotations), the description is severely lacking. It does not explain return format, pagination, or error handling. The tool's integration with other browser tools is not addressed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 6 parameters with 0% description coverage, yet the tool description adds no meaning beyond the tool's general purpose. Parameters like 'filter', 'browser', 'maxLogs', and 'executeScript' remain unexplained, leaving the agent without guidance on how to use them correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool captures browser console logs and lists supported types (errors, warnings, info, debug). It mentions debugging JavaScript issues. However, it does not distinguish itself from the sibling tool 'get_network_logs', missing an opportunity to clarify scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for debugging JavaScript issues but provides no explicit guidance on when to use or avoid this tool, nor alternatives (e.g., when to prefer get_network_logs instead). There is no mention of prerequisites or edge cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Capture network requests and responses for debugging and API verification. Supports filtering by URL pattern, HTTP method, status code, and resource type. Essential for understanding API calls and debugging network issues.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| filter | No | ||
| browser | No | ||
| maxLogs | No | ||
| waitTime | No | ||
| includeBody | No | ||
| maxBodySize | No | ||
| includeHeaders | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the full burden. It mentions 'capture' but does not clarify if this is a one-time operation, if it waits for network events, or if it modifies browser state. It fails to disclose important behavioral traits such as whether logs are cleared or how long the capture lasts.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise at two sentences, with the purpose front-loaded. It is well-structured and each sentence adds value, avoiding unnecessary fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite 8 parameters and no output schema or annotations, the description omits details on many parameters and behavioral aspects. It does not explain the return format, pagination, or limits, nor does it clarify the role of parameters like waitTime or includeBody. The description is incomplete for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning to some parameters by mentioning filtering by URL pattern, HTTP method, status code, and resource type, which map to properties in the filter object. However, other parameters like browser, maxLogs, waitTime, includeBody, maxBodySize, and includeHeaders are not described. Given the 0% schema coverage, the description partially compensates but is insufficient for all parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool captures network requests and responses for debugging and API verification, which is a specific and well-defined purpose. It also mentions filtering capabilities, which adds clarity. However, it does not explicitly differentiate from sibling tools like get_console_logs, though the purpose is distinct enough.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description says it is 'essential for understanding API calls and debugging network issues,' which implies when to use it. However, it does not provide explicit guidance on when not to use it or mention alternatives, such as using console logs for JavaScript errors.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Capture and handle native browser dialogs (alert, confirm, prompt, beforeunload). Auto-dismiss with defaults or use custom response logic for testing.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| filter | No | ||
| browser | No | ||
| waitTime | No | ||
| generateCode | No | ||
| handlerConfig | No | ||
| triggerScript | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description partially covers behavior (auto-dismiss, custom responses) but omits details like side effects, error handling, or return values.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence, but given the complexity (7 parameters including nested objects), it lacks structure to convey necessary details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and multiple nested parameters left undocumented, the description fails to provide a complete understanding of the tool's capabilities and return values.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description provides no explanation of any parameters (url, filter, browser, etc.), leaving the agent to rely solely on parameter names and types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Capture and handle' and specifies the resource 'native browser dialogs (alert, confirm, prompt, beforeunload)', which is distinct from sibling tools focused on navigation, clicking, or typing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when dialogs appear and offers both default auto-dismiss and custom logic, but does not explicitly compare to alternatives like 'interact' or state when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Inspect web pages, discover elements, and generate selectors for TestCafe automation
| Name | Required | Description | Default |
|---|---|---|---|
| output | No | ||
| target | Yes | ||
| browser | No | ||
| options | No | ||
| operation | Yes | ||
| executeLive | No | ||
| screenshots | No | ||
| screenshotPath | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full burden. It mentions 'inspect', 'discover', and 'generate selectors' but does not disclose side effects, authorization needs, or limitations. The operation enum values (analyze, discover, suggest-selectors, generate-code) are not explained, leaving behavioral implications unclear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of 11 words, which is under-specified rather than concise. While it saves words, it omits critical details about usage, parameters, and behavior, making it inadequate for guiding an AI agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects, no output schema, no annotations), the description is severely incomplete. It fails to cover parameter semantics, behavioral traits, or return values, leaving significant gaps for an AI agent to correctly invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description adds no meaning to parameters like target, options, or operation. The complex target oneOf structure is not explained, and parameter semantics like maxDepth or filterByTag remain undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: inspecting web pages, discovering elements, and generating selectors for TestCafe automation. It differentiates from sibling tools like browser_navigate or interact by focusing on inspection and selector generation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. Sibling tools include browser_snapshot, get_accessibility_snapshot, and interact, but the description provides no context for choosing this tool over them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Perform browser interactions and generate TestCafe test code
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| actions | Yes | ||
| browser | No | ||
| timeout | No | ||
| testName | No | ||
| validate | No | ||
| outputPath | No | ||
| executeLive | No | ||
| fixtureName | No | ||
| screenshots | No | ||
| generateTest | No | ||
| screenshotPath | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behaviors. It does not mention side effects (e.g., state changes), permissions, or error conditions. The generation of test code is a key behavior but not elaborated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is concise but insufficiently detailed for a tool with 12 parameters. Important information about the actions format is missing, making it less useful despite brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 12 parameters, no output schema, and no annotations. The description covers none of this complexity, leaving the agent without necessary information to correctly invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description does not explain any parameters such as the 'actions' array structure or the 'url' field. The agent receives no guidance on how to construct the input.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description mentions performing browser interactions and generating TestCafe test code, which distinguishes it from many sibling tools that only perform direct actions. However, it lacks specificity about what 'browser interactions' entails, and the tool's breadth is not clearly defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like browser_click, browser_type, etc. The description does not specify scenarios where this macro tool is preferable over individual actions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Validate TestCafe test syntax, structure, and best practices
| Name | Required | Description | Default |
|---|---|---|---|
| source | Yes | ||
| includeWarnings | No | ||
| validationLevel | No | ||
| includeSuggestions | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the tool validates syntax, structure, and best practices, but does not specify outcomes like error reporting or whether it modifies anything (likely read-only). More detail would improve transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of 6 words, which is concise but overly minimal given the tool's complexity (4 params, nested schema). It lacks structure and fails to provide essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Without annotations, output schema, or parameter descriptions, the description is incomplete for the tool's complexity. It does not cover error conditions, return values, or how to use the parameters effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain any of the 4 parameters (source, includeWarnings, validationLevel, includeSuggestions). The agent has no semantic guidance beyond the schema, which is insufficient for correct invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Validate TestCafe test syntax, structure, and best practices' clearly states the tool's verb (validate) and resource (TestCafe tests), and it distinguishes from siblings like 'create_test' and 'execute_test' which have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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, nor does it mention any prerequisites or context for its invocation. It only states the tool's function without usage directions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v1.0.0browser_clickbrowser_evaluatebrowser_navigatebrowser_press_keybrowser_snapshotbrowser_tabsbrowser_take_screenshotbrowser_typecreate_testexecute_testget_accessibility_snapshotget_console_logsget_network_logshandle_dialogsinspect_pageinteractvalidate_testScored across 17 tools
All tools have clearly distinct purposes. Browser interaction tools are prefixed with 'browser_' and each targets a specific action (navigate, click, type, etc.). Logging and snapshot tools are also well-separated (console, network, accessibility). No overlap in functionality.
Most tools follow a consistent verb_noun pattern using snake_case (e.g., create_test, browser_navigate). A few tools like 'interact' and 'inspect_page' deviate slightly but are still clear. Overall, the naming is predictable and easy to navigate.
With 17 tools, the server strikes a good balance. Each tool serves a distinct purpose for TestCafe automation—test creation, execution, validation, browser interactions, logging, and debugging—without being overwhelming.
The tool set covers the core TestCafe workflow: creating tests, running them, interacting with pages, capturing logs and snapshots, and handling dialogs. Minor gaps exist (e.g., no tool for listing/deleting tests, no explicit scroll or hover), but the overall surface is comprehensive for typical automation tasks.
Direct access to Cypress tests results and accessibility reports in your AI workflow.
AI QA tester — real browsers scan sites for bugs, SEO, perf, and accessibility issues via chat.
Browser-based QA for AI-built software. Test pages with real browsers via agents.
AI QA that runs your app in a browser on every pull request: projects, test targets, test cases.
