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🌟 AI-Powered Web Automation with MCP

Playwright + Model Context Protocol: Intelligent Browser Automation 🤖

Transform your testing workflow with AI-driven automation! Combine Playwright's robust browser automation with MCP (Model Context Protocol) for intelligent, natural language-controlled testing.

Playwright TypeScript MCP

Related MCP server: selenium-mcp

🌟 Overview

Experience the future of web automation where AI understands your testing intentions! Simply describe what you want to test in natural language, and watch as AI orchestrates complex browser interactions automatically.

🔌 What is MCP (Model Context Protocol)?

MCP is an open protocol that standardizes how applications provide context to LLMs, acting like a "USB-C port for AI applications" that provides a standardized way to connect AI models to different data sources and tools. It enables seamless communication between AI assistants (like Claude) and your local automation tools, making complex web testing as simple as having a conversation.

🎯 What Makes This Revolutionary

  • 🗣️ Natural Language Control: "Register a new user and add items to cart"

  • 🧠 AI-Powered Execution: Smart element detection, timing, and error handling

  • 🎲 Dynamic Test Data: Automatically generates realistic user data

  • 🔄 Self-Healing Tests: Adapts to UI changes intelligently

  • 🌐 Cross-Platform: Works with Claude Desktop, Cursor IDE, and other MCP clients

✨ Natural Language Examples

"Navigate to the website and create a new user account"
→ AI automatically generates user data and completes registration

"Browse women's clothing and add a blue dress to the cart"
→ AI navigates categories, finds products, and manages cart

"Login with the account we just created and verify it worked"
→ AI remembers credentials and validates successful authentication

"Take a screenshot of the current page"
→ AI captures and saves the current browser state

🏗️ Architecture & Execution Flow

🔄 Complete Execution Architecture

┌─────────────────────┐    ┌─────────────────────┐    ┌─────────────────────┐
│  You (Human User)   │    │   Cloud AI Service  │    │  Your Local Machine │
│  ┌───────────────┐  │    │  ┌───────────────┐  │    │  ┌───────────────┐  │
│  │ Claude Desktop│  │◄──►│  │ Claude AI     │  │◄──►│  │ MCP Server    │  │
│  │      or       │  │    │  │  Assistant    │  │    │  │ (Node.js)     │  │
│  │ Cursor IDE    │  │    │  │               │  │    │  │               │  │
│  └───────────────┘  │    │  └───────────────┘  │    │  └───────────────┘  │
└─────────────────────┘    └─────────────────────┘    └─────────┬───────────┘
                                                                 │
                                                                 ▼
                                                       ┌─────────────────────┐
                                                       │ Playwright Engine   │
                                                       │ ┌─────────────────┐ │
                                                       │ │ Real Browser    │ │
                                                       │ │ (Chromium)      │ │
                                                       │ │                 │ │
                                                       │ │ ┌─────────────┐ │ │
                                                       │ │ │Real Website │ │ │
                                                       │ │ │Interactions │ │ │
                                                       │ │ └─────────────┘ │ │
                                                       │ └─────────────────┘ │
                                                       └─────────────────────┘

🎯 Detailed Execution Flow

📋 Step-by-Step Process:

1. 💬 Human Input (You)
   ↓
   "Register a new user and add items to cart"
   
2. 🌐 Client Application (Claude Desktop/Cursor)
   ↓
   Sends request to Claude AI service over HTTPS
   
3. 🧠 Claude AI (Anthropic's Cloud)
   ↓
   • Understands natural language intent
   • Decides which automation functions to call
   • Generates parameters (random user data, etc.)
   
4. 📡 MCP Protocol Communication
   ↓
   Claude connects to your local MCP server via JSON-RPC
   
5. 🖥️ Your Local MCP Server (Node.js)
   ↓
   • Receives function calls from Claude
   • Validates parameters
   • Executes Playwright scripts
   
6. 🎭 Playwright Engine (Local)
   ↓
   • Launches real browser (Chromium)
   • Performs actual web interactions
   • Manages browser state and timing
   
7. 🌍 Real Website Interaction
   ↓
   • Actual HTTP requests to automationexercise.com
   • Real form submissions and user account creation
   • Genuine e-commerce interactions
   
8. ⬅️ Results Flow Back
   ↓
   Website → Browser → Playwright → MCP Server → Claude AI → You

🔍 What Happens Behind the Scenes

When You Say: "Register a new user"

🧠 Claude AI Processing:

// Claude's internal decision making:
1. Parse intent: "User wants to register on the website"
2. Identify required function: register_new_user
3. Generate realistic test data:
   - email: "testuser_1734721171547@example.com" 
   - password: "AutoPass2025!"
   - name: "John Smith"
   - address: "123 Main Street"
4. Send MCP function call to your local server

🖥️ Your Local MCP Server Execution:

// Actual Playwright code that executes:
async function registerNewUser(params) {
    // 1. Navigate to signup page
    await page.goto('https://automationexercise.com');
    await page.click('a[href="/login"]');
    
    // 2. Fill initial signup form
    await page.fill('input[data-qa="signup-name"]', params.name);
    await page.fill('input[data-qa="signup-email"]', params.email);
    await page.click('button[data-qa="signup-button"]');
    
    // 3. Fill detailed registration form
    await page.fill('input[data-qa="first_name"]', params.firstName);
    await page.fill('input[data-qa="password"]', params.password);
    await page.selectOption('select[data-qa="country"]', params.country);
    // ... more form filling
    
    // 4. Submit registration
    await page.click('button[data-qa="create-account"]');
    
    // 5. Return success result
    return { success: true, email: params.email };
}

🌐 Real Browser Actions:

  • 🌐 Chromium browser window opens (headless by default)

  • 📄 Actual page loads from automationexercise.com

  • 🖱️ Real mouse clicks and keyboard typing

  • 📝 Form data submitted to real servers

  • ✅ Actual user account created in their database

🖥️ Platform-Specific Execution

🖥️ Claude Desktop Flow:

Your Computer:
├── Claude Desktop App (Electron)
│   ├── Connects to Anthropic's Claude AI
│   └── MCP client built-in
├── Local MCP Server (Node.js process)
│   ├── Receives MCP calls from Claude
│   └── Executes Playwright scripts
└── Browser Process (Chromium)
    └── Real web interactions

⌨️ Cursor IDE Flow:

Your Computer:
├── Cursor IDE (VS Code fork)
│   ├── MCP extension/integration
│   └── Connects to Claude AI via API
├── Local MCP Server (Node.js process)
│   ├── Started via npm start
│   └── Listens for MCP connections
└── Browser Process (Chromium)
    └── Automated by Playwright

🔐 Security & Isolation

  • Local Execution: All browser automation happens on your machine

  • Data Privacy: Test data never leaves your system

  • Network Isolation: Only connects to specified test websites

  • Process Isolation: Each browser session is isolated

  • Credential Safety: Login details stored locally only

💡 Key Technical Points

  1. No Remote Browser: Browser runs locally, not in cloud

  2. Real Interactions: Actual website calls, not mocked responses

  3. MCP Protocol: Standard communication between AI and tools

  4. Persistent Sessions: Browser state maintained across function calls

  5. Error Handling: Both AI and local server handle failures gracefully

🚀 Quick Start

📋 Prerequisites

  • Node.js 18+ installed

  • npm or yarn package manager

  • Git for cloning the repository

📦 Installation

# 1. Clone the repository
git clone https://github.com/yourusername/playwright-automation-mcp.git
cd playwright-automation-mcp

# 2. Install dependencies
npm install

# 3. Install Playwright browsers
npx playwright install

# 4. Build the project
npm run build

⚙️ MCP Server Configuration

🔑 Important: The MCP server runs locally on your machine, not in the cloud. Claude AI connects to your local server to execute automation.

🔧 Understanding the Setup:

  • Claude AI: Runs in Anthropic's cloud, understands your requests

  • MCP Server: Runs locally on your machine, executes Playwright

  • Browser: Launches locally, performs real web interactions

Option 1: Claude Desktop

  1. Install Claude Desktop from claude.ai

  2. Locate config file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • Windows: %APPDATA%\Claude\claude_desktop_config.json

    • Linux: ~/.config/Claude/claude_desktop_config.json

  3. Create/edit the config file:

{
  "mcpServers": {
    "playwright-automation": {
      "command": "node",
      "args": ["dist/index.js"],
      "cwd": "/absolute/path/to/your/playwright-automation-mcp"
    }
  }
}

  1. Start your local MCP server:

cd /path/to/playwright-automation-mcp
npm run build
npm start

  1. Verification Steps:

    • ✅ MCP server shows: "Playwright Automation MCP Server started"

    • ✅ Restart Claude Desktop completely

    • ✅ In Claude, try: "Can you navigate to the automation exercise website?"

Option 2: Cursor IDE

  1. Install Cursor from cursor.sh

  2. Configure MCP in your project:

# In your project root
mkdir -p .cursor

  1. Create .cursor/mcp.json:

{
  "mcpServers": {
    "playwright-automation": {
      "command": "node",
      "args": ["dist/index.js"],
      "cwd": "."
    }
  }
}

  1. Start MCP server separately:

npm run build
npm start

  1. In Cursor, enable MCP integration:

    • Open Command Palette (Ctrl+Shift+P / Cmd+Shift+P)

    • Search for "MCP" settings

    • Ensure MCP integration is enabled

🔧 Configuration Troubleshooting:

# 1. Verify your project is built
ls -la dist/index.js  # Should exist

# 2. Test MCP server manually
npm start  # Should show "Server started" message

# 3. Check for port conflicts
lsof -i :3000  # Default MCP port

# 4. Kill any existing MCP processes
pkill -f "dist/index.js"

✅ Connection Verification:

When properly configured, you should be able to:

🖥️ In Claude Desktop:

You: "Can you help me test a website?"
Claude: "I can help you with web automation! I have access to Playwright tools..."

⌨️ In Cursor:

You: @mcp Can you list available automation functions?
Cursor: Shows list of playwright-automation functions

🎯 Verification

Start the MCP server to test your setup:

npm start

You should see:

✅ Playwright Automation MCP Server started
🚀 Server ready for MCP connections
🎭 Playwright browsers initialized

🎮 Usage

🤖 With AI Assistants (Recommended)

Simply chat with your AI assistant naturally:

You: "Can you test the user registration flow on the automation exercise website?"

AI Assistant: I'll help you test the registration flow. Let me:
1. Navigate to the website
2. Register a new user with random data
3. Verify the registration was successful

[Executes automation automatically...]

✅ Successfully registered user: testuser_1734721171547@example.com
✅ Account creation confirmed
✅ User can login with new credentials

🔧 Direct MCP Commands (Advanced)

For advanced users or debugging:

// Navigate to website
playwright-automation:navigate_to_automation_exercise

// Register new user (AI generates data automatically)
playwright-automation:register_new_user
{
  "name": "John Doe",
  "email": "john.doe@example.com",
  "password": "SecurePass123!",
  "firstName": "John",
  "lastName": "Doe",
  "company": "Tech Corp",
  "address": "123 Main St",
  "city": "San Francisco",
  "state": "California",
  "zipCode": "94102",
  "country": "United States",
  "mobileNumber": "555-123-4567"
}

// Browse products by category
playwright-automation:browse_products
{
  "category": "Women"
}

// Add product to cart
playwright-automation:add_product_to_cart
{
  "productName": "Blue Top"
}

🛠️ Available Functions

Function

Description

Parameters

navigate_to_automation_exercise

Launch AutomationExercise website

None

register_new_user

Register new account with full details

User details object

login_user

Login with existing credentials

email, password

logout_user

Logout current user

None

browse_products

Browse product catalog

category (optional)

add_product_to_cart

Add specific product to cart

productName

view_cart

Display cart contents

None

take_screenshot

Capture current page

filename (optional)

click_continue

Click continue button

None

close_browser

Close browser and cleanup

None

🧪 Testing Scenarios

🎯 Complete User Journey

1. Website Navigation ✅
2. User Registration ✅
3. Account Verification ✅
4. Product Browsing ✅
5. Shopping Cart ✅
6. User Authentication ✅
7. Session Management ✅

🎲 Dynamic Test Data

The system automatically generates:

  • Unique email addresses with timestamps

  • Realistic names and addresses

  • Valid phone numbers

  • Secure passwords

  • Random but valid form data

🔧 Development

📁 Project Structure

src/
├── index.ts                 # MCP server entry point
├── playwright-automation.ts # Core automation functions
├── config.ts               # Configuration management
├── demo.ts                 # Demonstration flows
└── utils/
    ├── helpers.ts          # Utility functions
    ├── page-objects.ts     # Page object models
    └── test-data.ts        # Test data generators

🛠️ Available Scripts

npm start          # Start MCP server
npm run dev        # Development mode with auto-reload
npm run build      # Build TypeScript to JavaScript
npm run demo       # Run demonstration automation
npm test           # Execute test suite
npm run test:ui    # Run tests with Playwright UI
npm run codegen    # Generate Playwright code

🐛 Debugging

Enable debug mode:

# Debug MCP communication
DEBUG=mcp:* npm start

# Debug Playwright actions
DEBUG=pw:api npm start

# Debug everything
DEBUG=* npm start

🚨 Troubleshooting

Common Issues & Solutions

❌ MCP Server Not Connecting

# Check if server is running
ps aux | grep "dist/index.js"

# Kill existing instances
pkill -f "dist/index.js"

# Rebuild and restart
npm run build && npm start

❌ Browser Not Launching

# Reinstall Playwright browsers
npx playwright install --force

# Check system dependencies (Linux)
npx playwright install-deps

❌ Configuration Issues

  • Verify absolute paths in config files

  • Ensure dist/index.js exists after building

  • Check file permissions

  • Restart AI client after config changes

❌ Function Calls Failing

  • Confirm MCP server is running

  • Check browser is properly initialized

  • Verify website is accessible

  • Review error messages in server logs

🔍 Health Check

Test your setup:

# Verify server health
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"method": "tools/list"}'

🎯 Target Application & Website

This automation targets AutomationExercise, which provides:

  • 👤 User Management: Registration, login, logout flows

  • 🛍️ Product Catalog: Categories, search, product details

  • 🛒 Shopping Cart: Add/remove items, checkout process

  • 📱 Responsive Design: Mobile and desktop layouts

  • 🧪 Rich Test Scenarios: Perfect for automation practice

🤝 Contributing & Development

  1. Fork the repository

  2. Create a feature branch: git checkout -b feature/amazing-feature

  3. Commit changes: git commit -m 'Add amazing feature'

  4. Push to branch: git push origin feature/amazing-feature

  5. Open a Pull Request

🙋 Support

📚 Documentation & Resources

👨‍💻 Author

Devendra Singh - Quality Engineering Specialist, AI & Automation Enthusiast

  • 🔗 LinkedIn Profile - Connect for professional opportunities and collaboration

  • 🐙 GitHub Profile - View other projects and contributions

  • 📧 Contact - Reach out through LinkedIn or GitHub for questions and partnerships

🌟 Transform Your Testing with AI-Powered Automation! 🌟

Available Tools

10 tools
add_product_to_cartB

Add a specific product to the shopping cart

ParametersJSON Schema
NameRequiredDescriptionDefault
productNameYesName of the product to add to cart

TDQS

B3.3/5.0
Behavior2/5

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 merely states the action without mentioning side effects (e.g., cart state modification), required context (e.g., current page), or whether it is idempotent. This is a significant gap for a mutation 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, focused sentence that communicates the essential action without any unnecessary words or redundancy. It is appropriately sized for the tool's simplicity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has one parameter, no output schema, and no annotations. While the description is clear, it lacks context about when to use the tool (e.g., after browsing products) and does not explain what happens after execution. For a simple action, this is minimally viable but not complete.

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?

The input schema covers the single parameter 'productName' with a clear description, achieving 100% schema coverage. The tool description adds no extra meaning about the parameter beyond the schema. Baseline of 3 applies since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Add'), identifies the resource ('a specific product'), and specifies the destination ('shopping cart'). It clearly distinguishes from sibling tools like browse_products or view_cart, as it uniquely describes adding an item to the cart.

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 offers no guidance on when to use this tool versus alternatives. It does not mention prerequisites such as needing to be logged in, having browsed products, or being on a product page. This leaves the agent without context for proper invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

browse_productsB

Browse products on AutomationExercise, optionally by category

ParametersJSON Schema
NameRequiredDescriptionDefault
categoryNoProduct category to browse (optional)

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It implies a read-like operation ('browse') but does not disclose what the agent will receive (e.g., a list of products), side effects, or any login/state requirements.

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 sentence, front-loaded with the action, and contains no filler. Every word earns its place, making it very concise.

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?

With no output schema and no annotations, the description should explain what browsing returns and any preconditions. It only states the action and one filter, leaving the agent with insufficient context for confident invocation.

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 coverage is 100% and the category parameter already has a description. The description's phrase 'optionally by category' merely repeats the schema, adding no additional semantic meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Browse') and the resource ('products on AutomationExercise'), and mentions the optional category filter, which distinguishes it from sibling tools like view_cart or navigate_to_automation_exercise.

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 gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., navigating to the site first) or contrast with sibling tools like add_product_to_cart or view_cart.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

click_continueA

Click the Continue button after successful registration

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the trigger and the action, but with no annotations, it doesn't mention what happens after the click (e.g., navigation) or potential side effects. This is adequate for a simple UI action but lacks deeper behavioral detail.

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, clear sentence with no wasted words, making it easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, no-output tool, the description covers the essential information: what to click and when. In the context of sibling tools, it is complete enough to be used correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the description need not elaborate on them. The empty schema is fully covered, so the description adds minimal but sufficient context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Click'), the target ('Continue button'), and the context ('after successful registration'), distinguishing it from sibling tools like register_new_user or login_user.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'after successful registration' provides a clear usage condition, indicating this tool is a follow-up step. It does not explicitly name alternatives, but the context is sufficient for an agent to sequence it correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

close_browserA

Close the browser and cleanup resources

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.5/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility for behavioral disclosure. It mentions 'cleanup resources' but does not explain side effects, session termination, idempotency, or whether it is safe to call at any time. This is minimal disclosure for a potentially destructive action.

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, concise sentence that immediately conveys the action and purpose. Every word contributes, with no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with no parameters or output schema, the description is minimally adequate but lacks context about when to invoke it and what exactly 'cleanup resources' entails. It does not mention the impact on the current session or whether it is a final step, leaving the agent with some ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the empty schema fully covers them. Per the baseline for zero-parameter tools, a score of 4 is appropriate. The description adds no parameter information, but none is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Close') and resource ('browser'), clearly stating the tool's action. It is distinct from sibling tools, which focus on navigation, login, cart, and other browser actions, with no overlap.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention that it should be used at the end of a browsing session or after logout, nor does it exclude any scenarios. The usage context is only implied by the tool name and description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

login_userB

Login to an existing user account on AutomationExercise

ParametersJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address for login
passwordYesPassword for login

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description is the only source of behavioral info, but it does not disclose side effects (e.g., session creation, redirects), error handling for invalid credentials, or any post-login state. This is a significant gap for a state-changing action.

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, concise sentence that is front-loaded and contains no unnecessary words. It efficiently conveys the core purpose.

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?

For a simple login tool, the description lacks essential context: no mention of preconditions, no return value or success/failure indicators, and no behavioral details beyond the action. The absence of annotations makes this incompleteness more impactful.

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?

The input schema already provides clear descriptions for both parameters (email and password), achieving 100% coverage. The description adds no further meaning, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Login') and the resource ('existing user account on AutomationExercise'), and distinguishes it from sibling tools like register_new_user and logout_user. It is specific and unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites such as requiring a prior registration or navigation to the site. The usage context is entirely implicit based on the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

logout_userA

Logout the currently logged in user

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but does not disclose the effects (e.g., session termination), any error conditions if no user is logged in, or side effects on the system state. This is minimal and not helpful beyond the action itself.

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, direct sentence with no wasted words. It is appropriately sized and immediately front-loads the action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters, no output schema, one clear action), the description is sufficient for basic understanding. However, without annotations or an output schema, the agent is left unaware of success/failure behavior or preconditions, slightly limiting completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Since there are zero parameters, the schema leaves nothing to explain. The description does not need to add parameter semantics. Receives baseline score of 4 as the description is not required to compensate for any missing parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Logout' with a clear resource 'the currently logged in user'. It is unambiguously distinct from sibling tools like login_user and register_new_user, making its purpose immediately obvious.

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 or what prerequisites are needed (e.g., must have a logged-in user). It does not mention any exclusions or compare with login_user, leaving usage entirely implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

register_new_userB

Register a new user account on AutomationExercise with full details

ParametersJSON Schema
NameRequiredDescriptionDefault
cityYesCity for registration
nameYesFull name for registration
emailYesEmail address for registration
stateYesState for registration
addressYesPrimary address for registration
companyYesCompany name for registration
countryYesCountry for registration
zipCodeYesZIP code for registration
address2YesSecondary address for registration
lastNameYesLast name for registration
passwordYesPassword for the new account
firstNameYesFirst name for registration
mobileNumberYesMobile phone number for registration

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of disclosing behavioral traits. It only states the action 'Register' without mentioning side effects, error handling, or whether the user will be automatically logged in. This lack of behavioral context is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence of only 9 words with no filler or redundant content. It is efficiently structured and front-loaded with the core purpose, though it could be expanded without sacrificing conciseness.

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?

This tool has 13 required parameters, no output schema, and no annotations, making the description the only contextual source. The description is too minimal to cover the complexity; it does not mention prerequisites, expected outcomes, or how it fits into the registration workflow alongside sibling tools.

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?

All 13 parameters have schema descriptions (100% coverage), so the description does not need to add parameter information. The description itself adds no extra semantic detail beyond what the schema already provides, aligning with the baseline of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Register' and the resource 'new user account' on 'AutomationExercise', making it immediately distinguishable from sibling tools like login_user and logout_user. It is specific and unambiguous about what the tool does.

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, such as navigating to the site first or logging in. It also does not mention prerequisites or conditions like whether the user already exists. This is similar to the MID example that scored 2 for lacking when-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

take_screenshotB

Take a screenshot of the current page

ParametersJSON Schema
NameRequiredDescriptionDefault
filenameNoFilename for the screenshot (optional)

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the action but does not disclose where the screenshot is saved, what output it returns, whether it is safe/read-only, or any side effects. This is a significant gap for an unannotated 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, compact sentence with zero filler. It is front-loaded and every word earns its place, making it highly efficient.

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?

The tool has no output schema, so the description should explain return values or side effects, but it does not. It lacks essential context for an agent (e.g., where the screenshot is stored, what the tool returns, or whether it requires page readiness). For a simple tool, the description is minimal but incomplete given the agent's need to know the outcome.

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?

The single optional parameter 'filename' is fully described in the input schema (100% coverage), so the schema already provides semantics. The description adds no additional parameter meaning, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Take a screenshot of the current page' uses a specific verb ('take') and resource ('screenshot of the current page'), clearly distinguishing this tool from sibling tools like login_user or add_product_to_cart. It is unambiguous and directly states the tool's function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage (when you need a screenshot) but provides no explicit when-to-use guidance, exclusions, or alternatives. Sibling names make the distinct purpose obvious, but no contextual direction is given for when to choose this tool over others.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

view_cartA

View the contents of the shopping cart

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden. 'View the contents' implies a non-mutating read, but it does not disclose the output format, whether a session is required, or any other behavioral details.

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, front-loaded sentence with no filler. Every word contributes to understanding the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, parameterless view operation, the description is largely complete. Some context about return value or session requirements could improve it, but the core action is fully specified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to add. The schema is also empty with 100% description coverage, and the baseline for a no-parameter tool is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('View') and a clear resource ('the contents of the shopping cart'), making the tool's function immediately obvious. It also distinguishes itself from sibling tools like add_product_to_cart and browse_products by focusing on the cart's current contents.

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 does not mention prerequisites such as logging in or prior cart actions, nor does it name alternative tools for other cart operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 10 tool updatesv1.0.0
    • First observedadd_product_to_cart
    • First observedbrowse_products
    • First observedclick_continue
    • First observedclose_browser
    • First observedlogin_user
    • First observedlogout_user
    • First observednavigate_to_automation_exercise
    • First observedregister_new_user
    • First observedtake_screenshot
    • First observedview_cart
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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct action: navigation, login, registration, product browsing, cart management, screenshot, logout, and browser cleanup. No two tools appear to do the same thing, even though click_continue is narrow but clearly tied to the registration flow.

Naming Consistency5/5

All tools use snake_case with a clear verb-first pattern (e.g., login_user, browse_products, add_product_to_cart). Naming is highly consistent and predictable, with no camelCase or mixing of conventions.

Tool Count5/5

Ten tools is a well-scoped set for automating a specific website's user flows. Each tool serves a concrete purpose in the main journey (navigate, register, login, browse, cart, logout), with no bloat or unnecessary duplication.

Completeness4/5

The tool set covers the core lifecycle of a user on AutomationExercise: registration, login, browsing, adding to cart, viewing cart, and logout. Minor gaps exist, such as no checkout, cart removal, or product detail retrieval, but these are not critical for the apparent automation purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues

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