High Risk →

browser_evaluate

Run custom JavaScript inside the page context and return the JSON-serializable result.

How to control browser_evaluate ↓

What browser_evaluate does on YetiBrowser MCP

AI agents invoke browser_evaluate to trigger actions in YetiBrowser MCP. 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_evaluate needs a policy

This tool allows execution of arbitrary JavaScript code in the active browser tab's context. While not destructive by default, it has the broadest capability to trigger side effects including modifying DOM, making network requests, accessing sensitive data, or triggering page interactions.

From the tool's definition Tool description states it can 'Run custom JavaScript inside the page context' with ability to return results. This enables arbitrary code execution within the browser environment.

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

How to control browser_evaluate

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

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

browser_evaluate 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 YetiBrowser MCP — 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

Go deeper

Questions about browser_evaluate

What does the browser_evaluate tool do? +

Run custom JavaScript inside the page context and return the JSON-serializable result. It is categorised as a Execute tool in the YetiBrowser MCP 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_evaluate? +

Register the YetiBrowser MCP server in PolicyLayer and add a rule for browser_evaluate: 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 YetiBrowser MCP. Nothing to install.

What risk level is browser_evaluate? +

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

Can I rate-limit browser_evaluate? +

Yes. Add a rate_limit block to the browser_evaluate 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_evaluate completely? +

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

browser_evaluate is provided by the YetiBrowser MCP server (yetidevworks/yetibrowser-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every YetiBrowser MCP tool call.

Start from YetiBrowser MCP, 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.

17 YetiBrowser MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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