Extract text content from the current page, optionally using a CSS selector.
AI agents call extract_text_content to retrieve information from MCP Web Browser Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and queries page content without modifying, deleting, or executing code. Extracting text from a webpage is a passive Read operation. Even in a browser automation context, extraction alone cannot cause harm to external systems or data. The presence of sibling tools like click_element and input_text confirms this tool is the read-only variant of the suite.
From the tool's definition Tool description states 'Extract text content from the current page' with optional CSS selector filtering. This is a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access extract_text_content gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Web Browser Server, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_text_content:
{
"version": "1",
"default": "deny",
"tools": {
"extract_text_content": {}
}
}extract_text_content is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract text content from the current page, optionally using a CSS selector. It is categorised as a Read tool in the MCP Web Browser Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Web Browser Server MCP server in PolicyLayer and add a rule for extract_text_content: 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 Web Browser Server. Nothing to install.
extract_text_content is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the extract_text_content 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.
Set action: deny in the PolicyLayer policy for extract_text_content. 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.
extract_text_content is provided by the MCP Web Browser Server MCP server (random-robbie/mcp-web-browser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Web Browser Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 MCP Web Browser Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.