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stop_browser_session

stop_browser_session

How to control stop_browser_session ↓

What stop_browser_session does on AWS Labs CloudTrail MCP Server

AI agents invoke stop_browser_session to trigger actions in AWS Labs CloudTrail MCP Server. 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 stop_browser_session needs a policy

The tool's name suggests it terminates or interrupts an active browser session. This is an Execute category action because it triggers an external operation whose effects depend on runtime arguments (which session to stop). The high severity reflects potential disruption to ongoing work or monitoring activities.

From the tool's definition Tool named 'stop_browser_session' with empty description. Despite the empty description, the name indicates triggering an external operation (stopping a browser session), which is an Execute action that performs an effect dependent on the session context.

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

How to control stop_browser_session

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

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

stop_browser_session 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 AWS Labs CloudTrail MCP Server — 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 stop_browser_session

What does the stop_browser_session tool do? +

stop_browser_session. It is categorised as a Execute tool in the AWS Labs CloudTrail 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 stop_browser_session? +

Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for stop_browser_session: 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 CloudTrail MCP Server. Nothing to install.

What risk level is stop_browser_session? +

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

Can I rate-limit stop_browser_session? +

Yes. Add a rate_limit block to the stop_browser_session 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 stop_browser_session completely? +

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

stop_browser_session is provided by the AWS Labs CloudTrail MCP Server MCP server (awslabs.cloudtrail-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 CloudTrail MCP Server tool call.

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

Free to start. No card required.

805 AWS Labs CloudTrail MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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