Low Risk

validate_page

Validate the current page state by extracting content and optionally checking for expected text. Args: expected_text (str): Optional text expected to be present on the page. Returns: str: A message indicating whether the expected text was found or showing an extracted snippet.

How to control validate_page ↓

AI agents call validate_page to retrieve information from Mcp Browser Use without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

validate_page retrieves and queries page state without side effects. It extracts content and checks for text presence—classic Read operations. No data modification, code execution, or destructive actions are possible. Low severity because misuse only reveals information already visible in the browser.

From the tool's definition Tool description states it 'extracting content and optionally checking for expected text' with no modification, deletion, or execution capabilities. Returns extracted snippets or validation messages only.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_page": {}
  }
}

validate_page is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Browser Use — 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.
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Go deeper

What does the validate_page tool do? +

Validate the current page state by extracting content and optionally checking for expected text. Args: expected_text (str): Optional text expected to be present on the page. Returns: str: A message indicating whether the expected text was found or showing an extracted snippet. It is categorised as a Read tool in the Mcp Browser Use MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_page? +

Register the Mcp Browser Use MCP server in PolicyLayer and add a rule for validate_page: 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 Mcp Browser Use. Nothing to install.

What risk level is validate_page? +

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

Can I rate-limit validate_page? +

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

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

validate_page is provided by the Mcp Browser Use MCP server (vinayak-mehta/mcp-browser-use). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Browser Use tool call.

Deterministic rules across all 19 Mcp Browser Use tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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19 Mcp Browser Use tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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