browser_tabs

THE RISK

Low Risk

Why browser_tabs needs a policy

With no description available and a generic name 'browser_tabs' that doesn't clearly map to any specific category, confidence is very low. The name suggests browser tab management which could be a Read operation, but given the AWS HealthOmics context this seems out of place. Without more information, classifying as Other with low confidence.

From the tool's definition Tool name is 'browser_tabs' but the description is empty and uninformative. The tool name does not clearly indicate a specific action.

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

POLICY

How to control browser_tabs

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

policy.json

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

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

Create a free account and register AWS HealthOmics 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.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about browser_tabs

What does the browser_tabs tool do? +

browser_tabs. It is categorised as a Other tool in the AWS HealthOmics MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on browser_tabs? +

Register the AWS HealthOmics MCP Server MCP server in PolicyLayer and add a rule for browser_tabs: 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 HealthOmics MCP Server. Nothing to install.

What risk level is browser_tabs? +

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

Can I rate-limit browser_tabs? +

Yes. Add a rate_limit block to the browser_tabs 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_tabs completely? +

Set action: deny in the PolicyLayer policy for browser_tabs. 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_tabs? +

browser_tabs is provided by the AWS HealthOmics MCP Server MCP server (awslabs.aws-healthomics-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 HealthOmics MCP Server tool call.

Start from AWS HealthOmics 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 →