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browser_mouse_wheel

browser_mouse_wheel

How to control browser_mouse_wheel ↓

What browser_mouse_wheel does on Playwright

AI agents invoke browser_mouse_wheel to trigger actions in Playwright. 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.

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Why browser_mouse_wheel needs a policy

Based on the tool name and Playwright context, this tool likely simulates mouse wheel (scroll) events in a browser, which is a browser interaction/execution action. Sibling tools like browser_click confirm this is a browser automation server. Empty description lowers confidence, but the pattern of browser interaction tools suggests Execute category.

From the tool's definition Tool name 'browser_mouse_wheel' on a Playwright server; description is empty and uninformative.

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

How to control browser_mouse_wheel

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

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

browser_mouse_wheel 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 Playwright — 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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Related tools and policies

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Questions about browser_mouse_wheel

What does the browser_mouse_wheel tool do? +

browser_mouse_wheel. It is categorised as a Execute tool in the Playwright 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_mouse_wheel? +

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

What risk level is browser_mouse_wheel? +

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

Can I rate-limit browser_mouse_wheel? +

Yes. Add a rate_limit block to the browser_mouse_wheel 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_mouse_wheel completely? +

Set action: deny in the PolicyLayer policy for browser_mouse_wheel. 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_mouse_wheel? +

browser_mouse_wheel is provided by the Playwright MCP server (@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 Playwright tool call.

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

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