Close the interactive browser session and free resources.
AI agents invoke browser_close to trigger actions in Web Scraper. 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.
This tool terminates a browser session and releases associated resources. It is an operational action (closing a process/session) rather than a pure read, data write, or destructive data action. It fits Execute as it triggers an external operation (terminating the browser process). Severity is low since misuse would only prematurely end a browser session, not cause data loss or financial harm.
From the tool's definition 'Close the interactive browser session and free resources'
Documented attack patterns abuse exactly the kind of access browser_close gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Web Scraper, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_close:
{
"version": "1",
"default": "deny",
"tools": {
"browser_close": {
"limits": [
{
"counter": "browser_close_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} browser_close 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.
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Close the interactive browser session and free resources. It is categorised as a Execute tool in the Web Scraper MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Web Scraper MCP server in PolicyLayer and add a rule for browser_close: 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 Web Scraper. Nothing to install.
browser_close is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the browser_close 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_close. 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_close is provided by the Web Scraper MCP server (imyourboyroy/webscrapertoolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Web Scraper, 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.
62 Web Scraper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.