High Risk →

browser_click

browser_click

How to control browser_click ↓

What browser_click does on AWS Lambda Tool MCP Server

AI agents invoke browser_click to trigger actions in AWS Lambda Tool 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.

High Risk

Why browser_click needs a policy

Browser click actions are Execute-category operations as they trigger external operations in a browser environment. The name strongly implies automated browser interaction. Confidence is reduced because the description is empty, preventing certainty about exact behavior, but browser automation tools that perform clicks can have significant side effects depending on what is clicked.

From the tool's definition Tool name 'browser_click' suggests executing a browser click action, which triggers external operations in a browser context.

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

How to control browser_click

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

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

browser_click 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 Lambda Tool 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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Questions about browser_click

What does the browser_click tool do? +

browser_click. It is categorised as a Execute tool in the AWS Lambda Tool 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_click? +

Register the AWS Lambda Tool MCP Server MCP server in PolicyLayer and add a rule for browser_click: 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 Lambda Tool MCP Server. Nothing to install.

What risk level is browser_click? +

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

Can I rate-limit browser_click? +

Yes. Add a rate_limit block to the browser_click 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_click completely? +

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

browser_click is provided by the AWS Lambda Tool MCP Server MCP server (awslabs.lambda-tool-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 Lambda Tool MCP Server tool call.

Start from AWS Lambda Tool 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 Lambda Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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