browser_mouse_wheel

THE RISK

High Risk

Why browser_mouse_wheel needs a policy

The tool name implies a browser automation action (scrolling via mouse wheel), which falls under Execute as it triggers external browser operations. However, the description is empty, reducing confidence. The presence of this tool on a Redshift MCP server is unexpected, which may indicate a multi-purpose server or misattribution.

From the tool's definition Tool name 'browser_mouse_wheel' suggests browser interaction (mouse wheel scroll action); description is empty and uninformative.

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 Amazon Redshift 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": 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.

Create a free account and register Amazon Redshift 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.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 Amazon Redshift MCP Server tools →

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon Redshift MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

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 Amazon Redshift MCP Server 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 Amazon Redshift 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 Amazon Redshift MCP Server. 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 Amazon Redshift MCP Server MCP server (awslabs.redshift-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 Amazon Redshift MCP Server tool call.

Start from Amazon Redshift 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 →