Switch to a specific tab in a browser
AI agents invoke set_active_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.
Switching the active tab triggers a browser state change and redirects the agent's focus/interaction context. It is an external browser operation that affects subsequent actions, placing it in the Execute category. Misuse could redirect an AI agent's actions to unintended pages, but blast radius is moderate since it doesn't directly delete data or move money.
From the tool's definition Switch to a specific tab in a browser
Documented attack patterns abuse exactly the kind of access set_active_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 set_active_tab:
{
"version": "1",
"default": "deny",
"tools": {
"set_active_tab": {
"limits": [
{
"counter": "set_active_tab_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}set_active_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.
Switch to a specific tab in a browser. 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 set_active_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.
set_active_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 set_active_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 set_active_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.
set_active_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.