Stop a browser instance and clean up resources
AI agents invoke stop_browser to trigger actions in Pydoll. 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.
Stopping a browser instance is a procedural operation that executes against an external system (the browser process) and has observable side effects (termination of the browser and cleanup of associated resources).
From the tool's definition Tool 'stop_browser' stops a browser instance and cleans up resources. This performs an action with external effects on a browser process.
Documented attack patterns abuse exactly the kind of access stop_browser gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pydoll, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_browser:
{
"version": "1",
"default": "deny",
"tools": {
"stop_browser": {
"limits": [
{
"counter": "stop_browser_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}stop_browser 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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Stop a browser instance and clean up resources. It is categorised as a Execute tool in the Pydoll MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pydoll MCP server in PolicyLayer and add a rule for stop_browser: 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 Pydoll. Nothing to install.
stop_browser 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 stop_browser 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 stop_browser. 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.
stop_browser is provided by the Pydoll MCP server (jinsongroh/pydoll-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pydoll, 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.
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