Reload the current web page.
AI agents invoke refresh_page to trigger actions in Selenium MCP Server. 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/reloading a page triggers an external browser action that re-executes page load, re-sends HTTP requests, and can cause side effects (e.g., re-submitting forms, re-triggering scripts). This is an Execute-level action as it controls browser behavior and can have context-dependent consequences beyond simple reads.
From the tool's definition Reload the current web page
Attacks that exploit this kind of access
Reload the current web page. It is categorised as a Execute tool in the Selenium MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Selenium MCP Server 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 Selenium MCP Server. 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 Selenium MCP Server MCP server (nayakprashant/selenium-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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