Extract data from a UI element. Returns text content, table data, or structured JSON from the element.
AI agents call extract 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 retrieves and reads data from UI elements without creating, modifying, deleting, or executing actions. It is a passive read operation that gathers information from the visual state of the application. Even though it operates in the UI automation domain, its specific function is purely informational retrieval, making it a Read category tool with low severity.
From the tool's definition Tool description states it 'Extract[s] data from a UI element. Returns text content, table data, or structured JSON from the element.' The verb 'extract' and 'returns' indicate data retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access extract 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 extract:
{
"version": "1",
"default": "deny",
"tools": {
"extract": {}
}
}extract is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract data from a UI element. Returns text content, table data, or structured JSON from the element. 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 extract: 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.
extract 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 extract 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 extract. 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.
extract 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.