Extract standard Google search results from the current page. Optionally save to .txt files.
AI agents call search.extract_google to retrieve information from MCP Playwright Browser without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and extracts data from an already-loaded Google search results page. The optional saving to .txt files is a Write side-effect, but the primary action is data extraction/retrieval. Severity is medium because it operates within a browser automation context with stealth mode that could be used to scrape data at scale, and file writes are a secondary concern.
From the tool's definition Extract standard Google search results from the current page. Optionally save to .txt files.
Attacks that exploit this kind of access
Extract standard Google search results from the current page. Optionally save to .txt files. It is categorised as a Read tool in the MCP Playwright Browser MCP Server, which means it retrieves data without modifying state.
Register the MCP Playwright Browser MCP server in PolicyLayer and add a rule for search.extract_google: 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 Playwright Browser. Nothing to install.
search.extract_google 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 search.extract_google 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 search.extract_google. 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.
search.extract_google is provided by the MCP Playwright Browser MCP server (mhrnqaruni/mcp-playwright-browser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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