List all visible windows with their titles, positions, and sizes.
AI agents call window_list to retrieve information from ScreenHand without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs passive enumeration of open windows on the desktop. It retrieves information (titles, positions, sizes) with no side effects, no state changes, and no external operations triggered. It is purely informational and fits the Read category.
From the tool's definition Tool name 'window_list' and description 'List all visible windows with their titles, positions, and sizes' indicate a query operation that retrieves window metadata without modification or execution of external operations.
Documented attack patterns abuse exactly the kind of access window_list 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 window_list:
{
"version": "1",
"default": "deny",
"tools": {
"window_list": {}
}
}window_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all visible windows with their titles, positions, and sizes. It is categorised as a Read tool in the ScreenHand MCP Server, which means it retrieves data without modifying state.
Register the ScreenHand MCP server in PolicyLayer and add a rule for window_list: 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.
window_list 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 window_list 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 window_list. 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.
window_list 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.