Refresh the current page in a browser tab
AI agents invoke refresh_page 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.
Refreshing a page triggers an external browser operation that re-executes all page load logic, network requests, and potentially re-submits forms. It is a browser action with side effects that go beyond mere data retrieval, classifying it as Execute. Misuse could cause unintended form resubmissions or disrupt ongoing sessions.
From the tool's definition Refresh the current page in a browser tab
Documented attack patterns abuse exactly the kind of access refresh_page 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 refresh_page:
{
"version": "1",
"default": "deny",
"tools": {
"refresh_page": {
"limits": [
{
"counter": "refresh_page_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}refresh_page 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.
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Refresh the current page in a browser tab. 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 refresh_page: 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.
refresh_page 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 refresh_page 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 refresh_page. 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.
refresh_page 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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