browser_resize

THE RISK

Low Risk

Why browser_resize needs a policy

With an empty description, classification is uncertain. The name 'browser_resize' on its own implies a browser window resize action — a benign UI operation. However, its presence on a data processing MCP server is unusual.

From the tool's definition Tool name is 'browser_resize' and description is empty. The name suggests resizing a browser window, which is a UI/display operation with no apparent data or system side effects.

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

POLICY

How to control browser_resize

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "browser_resize": {
      "limits": [
        {
          "counter": "browser_resize_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Create a free account and register Amazon Data Processing 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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All 805 Amazon Data Processing MCP Server tools →

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
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.
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_resize

What does the browser_resize tool do? +

browser_resize. It is categorised as a Other tool in the Amazon Data Processing MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on browser_resize? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for browser_resize: 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 Data Processing MCP Server. Nothing to install.

What risk level is browser_resize? +

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

Can I rate-limit browser_resize? +

Yes. Add a rate_limit block to the browser_resize 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_resize completely? +

Set action: deny in the PolicyLayer policy for browser_resize. 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_resize? +

browser_resize is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-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 Data Processing MCP Server tool call.

Start from Amazon Data Processing 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 →