Enable advanced stealth mode to avoid bot detection
AI agents invoke enable_stealth_mode 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 configures the browser automation environment to actively circumvent anti-bot detection mechanisms. It executes browser-level changes (modifying fingerprints, JavaScript properties, headers, etc.) to deceive websites into thinking the client is a legitimate user.
From the tool's definition 'Enable advanced stealth mode to avoid bot detection' — triggers external browser configuration operations that modify browser behavior to evade detection systems
Documented attack patterns abuse exactly the kind of access enable_stealth_mode 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 enable_stealth_mode:
{
"version": "1",
"default": "deny",
"tools": {
"enable_stealth_mode": {
"limits": [
{
"counter": "enable_stealth_mode_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}enable_stealth_mode 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.
Enable advanced stealth mode to avoid bot detection. 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 enable_stealth_mode: 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.
enable_stealth_mode 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 enable_stealth_mode 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 enable_stealth_mode. 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.
enable_stealth_mode 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.