browser_mouse_wheel

THE RISK

Low Risk

Why browser_mouse_wheel needs a policy

The description is empty, making classification uncertain. The tool name 'browser_mouse_wheel' suggests a browser UI interaction (mouse wheel scroll), which would be an Execute-category action. However, its presence on a Neptune database server is anomalous and suspicious. Without a description, confidence is very low.

From the tool's definition Tool name is 'browser_mouse_wheel' but description is empty/uninformative. The name suggests a browser interaction (scrolling), which would normally be Execute category, but this tool appears completely out of context for an Amazon Neptune MCP server focused…

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

POLICY

How to control browser_mouse_wheel

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Amazon Neptune MCP Server, 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": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

browser_mouse_wheel gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register AWS Labs Amazon Neptune MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
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FAQ

Questions about browser_mouse_wheel

What does the browser_mouse_wheel tool do? +

browser_mouse_wheel. It is categorised as a Other tool in the AWS Labs Amazon Neptune MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on browser_mouse_wheel? +

Register the AWS Labs Amazon Neptune MCP Server 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 AWS Labs Amazon Neptune MCP Server. Nothing to install.

What risk level is browser_mouse_wheel? +

browser_mouse_wheel is a Other tool with low risk. Read-only tools are generally safe to allow by default.

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 AWS Labs Amazon Neptune MCP Server MCP server (awslabs.amazon-neptune-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS Labs Amazon Neptune MCP Server tool call.

Start from AWS Labs Amazon Neptune MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →