High Risk →

browser_launch

๐Ÿ”ด ALWAYS USE THIS FIRST - Starts browser automation.

How to control browser_launch ↓

What browser_launch does on Browser-Debugger

AI agents invoke browser_launch to trigger actions in Browser-Debugger. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call โ€” builds kicked off, notifications sent, workflows started.

High Risk

Why browser_launch needs a policy

browser_launch initializes a browser automation session whose downstream effects depend on subsequent tool arguments and agent behavior. While the launch itself is reversible (browser_close exists), it triggers a system process and enables a chain of Execute/Destructive capabilities.

From the tool's definition Tool name: browser_launch. Description explicitly states 'Starts browser automation' - initiating a Chromium browser process.

Documented attack patterns abuse exactly the kind of access browser_launch gives an agent:

How to control browser_launch

PolicyLayer is an MCP gateway โ€” it sits between your AI agents and Browser-Debugger, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_launch:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "browser_launch": {
      "limits": [
        {
          "counter": "browser_launch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

browser_launch stays usable, but rate-capped โ€” a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Browser-Debugger โ€” nothing to install.
  2. Add this policy โ€” paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about browser_launch

What does the browser_launch tool do? +

๐Ÿ”ด ALWAYS USE THIS FIRST - Starts browser automation. It is categorised as a Execute tool in the Browser-Debugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on browser_launch? +

Register the Browser-Debugger MCP server in PolicyLayer and add a rule for browser_launch: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Browser-Debugger. Nothing to install.

What risk level is browser_launch? +

browser_launch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit browser_launch? +

Yes. Add a rate_limit block to the browser_launch rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block browser_launch completely? +

Set action: deny in the PolicyLayer policy for browser_launch. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides browser_launch? +

browser_launch is provided by the Browser-Debugger MCP server (selvadinesh-giga/mcp-based-browser-debug-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Browser-Debugger tool call.

Start from Browser-Debugger, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

14 Browser-Debugger tools catalogued and risk-classified โ€” across an index of 43,000+ MCP servers.

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