Create a new tab in a browser instance
AI agents invoke new_tab 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.
This tool executes browser control commands that can navigate to arbitrary URLs, access websites, and interact with web content. While opening a tab alone is not destructive, it enables the agent to perform subsequent actions (visiting phishing sites, automating unauthorized access, scraping protected content, or triggering downloads).
From the tool's definition 'Create a new tab in a browser instance' describes an action that triggers external browser operations whose effects depend on subsequent agent actions.
Documented attack patterns abuse exactly the kind of access new_tab 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 new_tab:
{
"version": "1",
"default": "deny",
"tools": {
"new_tab": {
"limits": [
{
"counter": "new_tab_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} new_tab 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.
Free to start. No card required.
Create a new tab in a browser instance. 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 new_tab: 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.
new_tab 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 new_tab 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 new_tab. 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.
new_tab 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.
57 Pydoll tools catalogued and risk-classified — across an index of 43,000+ MCP servers.