AI agents invoke browser_navigate to trigger actions in ScreenHand. 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 executes a browser navigation action, which can trigger arbitrary code execution on the target webpage, load malicious content, or initiate side effects on remote servers. While not inherently destructive or financial, it is an Execute-class tool because it performs an action whose consequences depend on the argument supplied.
From the tool's definition The tool description states it will 'Navigate the active Chrome/Electron tab to a URL', which is a browser action that triggers external operations (page loads, script execution, potential redirects) whose effects depend on the provided URL argument.
Documented attack patterns abuse exactly the kind of access browser_navigate gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ScreenHand, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_navigate:
{
"version": "1",
"default": "deny",
"tools": {
"browser_navigate": {
"limits": [
{
"counter": "browser_navigate_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}browser_navigate 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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Navigate the active Chrome/Electron tab to a URL. It is categorised as a Execute tool in the ScreenHand MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ScreenHand MCP server in PolicyLayer and add a rule for browser_navigate: 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 ScreenHand. Nothing to install.
browser_navigate 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 browser_navigate 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 browser_navigate. 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.
browser_navigate is provided by the ScreenHand MCP server (manushi4/screenhand). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ScreenHand, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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89 ScreenHand tools catalogued and risk-classified — across an index of 43,000+ MCP servers.