Load a previously saved browser session
AI agents call load_session 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 retrieves and restores a previously saved browser session state. It is a read operation that loads data from storage into the browser context. While the server as a whole performs browser automation (Execute category), this specific tool only reads and applies stored session state without triggering new external operations, code execution, or data modification.
From the tool's definition Tool name 'load_session' and description 'Load a previously saved browser session' indicate retrieval of stored session data without modification or execution of external operations.
Documented attack patterns abuse exactly the kind of access load_session 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 load_session:
{
"version": "1",
"default": "deny",
"tools": {
"load_session": {}
}
}load_session is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Load a previously saved browser session. 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 load_session: 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.
load_session 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 load_session 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 load_session. 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.
load_session 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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57 Pydoll tools catalogued and risk-classified — across an index of 43,000+ MCP servers.