Returns all network requests since loading the page
AI agents call browser_network_requests to retrieve information from Playwright MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries network request data captured during page load — a read-only operation with no side effects. Medium severity because network requests can reveal sensitive data (tokens, credentials, API endpoints) if an AI agent is browsing authenticated sessions.
From the tool's definition Returns all network requests since loading the page
Documented attack patterns abuse exactly the kind of access browser_network_requests gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_network_requests:
{
"version": "1",
"default": "deny",
"tools": {
"browser_network_requests": {}
}
}browser_network_requests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Returns all network requests since loading the page. It is categorised as a Read tool in the Playwright MCP MCP Server, which means it retrieves data without modifying state.
Register the Playwright MCP server in PolicyLayer and add a rule for browser_network_requests: 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 Playwright MCP. Nothing to install.
browser_network_requests 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 browser_network_requests 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 browser_network_requests. 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.
browser_network_requests is provided by the Playwright MCP server (korwabs/playwright-record-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 Playwright MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.