Closes browser and saves all artifacts (video, logs, screenshots, HAR, trace).
AI agents call browser_close to permanently remove resources in Browser-Debugger — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Closing a browser session cannot be undone; all runtime state (open tabs, session data, in-memory content) is destroyed. While artifacts are saved, the active session itself is irreversibly terminated. This qualifies as Destructive rather than Execute because the primary effect is irreversible termination of a resource.
From the tool's definition 'Closes browser and saves all artifacts' — closing the browser is an irreversible termination of the browser session; any unsaved state, open pages, or in-progress operations are permanently lost.
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 Browser-Debugger, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_close:
{
"version": "1",
"default": "deny",
"hide": [
"browser_close"
]
} browser_close disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Closes browser and saves all artifacts (video, logs, screenshots, HAR, trace). It is categorised as a Destructive tool in the Browser-Debugger MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Browser-Debugger 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 Browser-Debugger. Nothing to install.
browser_close is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
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 Browser-Debugger MCP server (selvadinesh-giga/mcp-based-browser-debug-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Browser-Debugger, 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.
14 Browser-Debugger tools catalogued and risk-classified — across an index of 43,000+ MCP servers.