Take a screenshot and return the file path (for viewing the actual image)
AI agents call screenshot_file 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 captures the current state of the screen and returns a file path for viewing. It has no side effects, does not modify data, does not execute arbitrary code or commands, and does not delete or move data. It is purely informational and falls under the 'Read' category as a data retrieval operation.
From the tool's definition Tool name 'screenshot_file' and description 'Take a screenshot and return the file path (for viewing the actual image)' indicate retrieval of visual state without modification or execution of external operations.
Documented attack patterns abuse exactly the kind of access screenshot_file 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 screenshot_file:
{
"version": "1",
"default": "deny",
"tools": {
"screenshot_file": {}
}
}screenshot_file is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Take a screenshot and return the file path (for viewing the actual image). 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 screenshot_file: 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.
screenshot_file 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 screenshot_file 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 screenshot_file. 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.
screenshot_file 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.