Get the current URL of a browser tab
AI agents call get_current_url to retrieve information from Pydoll without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries the current state of a browser tab and returns the URL without modifying, executing, or deleting anything. It is purely informational and has no blast radius if misused by an AI agent. Despite the server's broader capabilities (including bypass tools and destructive actions), this specific tool is a simple read operation.
From the tool's definition Tool name 'get_current_url' and description 'Get the current URL of a browser tab' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_current_url 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 get_current_url:
{
"version": "1",
"default": "deny",
"tools": {
"get_current_url": {}
}
}get_current_url is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the current URL of a browser tab. It is categorised as a Read tool in the Pydoll MCP Server, which means it retrieves data without modifying state.
Register the Pydoll MCP server in PolicyLayer and add a rule for get_current_url: 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.
get_current_url is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_current_url 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 get_current_url. 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.
get_current_url 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.
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