High Risk →

browser_batch_execute

Execute multiple browser actions in sequence. PREFER over individual tools for 2+ operations.

How to control browser_batch_execute ↓

AI agents invoke browser_batch_execute to trigger actions in Fast Playwright MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

This tool falls under Execute because it runs browser automation commands that produce real-world side effects (navigation, clicks, form submissions, file uploads, etc.) determined by the arguments provided.

From the tool's definition Tool enables execution of 'multiple browser actions in sequence' which constitutes running external operations whose effects depend on arguments. The server description confirms this is 'browser automation' featuring 'batch execution'.

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

PolicyLayer is an MCP gateway — it sits between your AI agents and Fast Playwright MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_batch_execute:

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

browser_batch_execute stays usable, but rate-capped — 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 Fast Playwright MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the browser_batch_execute tool do? +

Execute multiple browser actions in sequence. PREFER over individual tools for 2+ operations. It is categorised as a Execute tool in the Fast Playwright MCP 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_batch_execute? +

Register the Fast Playwright MCP server in PolicyLayer and add a rule for browser_batch_execute: 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 Fast Playwright MCP. Nothing to install.

What risk level is browser_batch_execute? +

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

Can I rate-limit browser_batch_execute? +

Yes. Add a rate_limit block to the browser_batch_execute 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_batch_execute completely? +

Set action: deny in the PolicyLayer policy for browser_batch_execute. 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_batch_execute? +

browser_batch_execute is provided by the Fast Playwright MCP server (tontoko/fast-playwright-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Fast Playwright MCP tool call.

Deterministic rules across all 34 Fast Playwright MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

34 Fast Playwright MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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