Find text on a window via OCR and click it. Handles Retina + shadow coordinate mapping.
AI agents invoke click_text 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 performs a UI click action triggered by OCR-based text detection. Clicking UI elements can trigger arbitrary application actions (buttons, links, form submissions, etc.), making this an Execute-category tool. The blast radius is high because an AI agent could click any visible UI element across any application, potentially triggering destructive or financial actions depending on context.
From the tool's definition Find text on a window via OCR and click it. Handles Retina + shadow coordinate mapping.
Documented attack patterns abuse exactly the kind of access click_text 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 click_text:
{
"version": "1",
"default": "deny",
"tools": {
"click_text": {
"limits": [
{
"counter": "click_text_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}click_text 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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Find text on a window via OCR and click it. Handles Retina + shadow coordinate mapping. 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 click_text: 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.
click_text 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 click_text 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 click_text. 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.
click_text 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.
Free to start. No card required.
89 ScreenHand tools catalogued and risk-classified — across an index of 43,000+ MCP servers.