Get basic information about a screenshot image, including its
AI agents call get_screenshot_info to retrieve information from Layout Detector MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information from screenshot images—it extracts layout data, locates assets, and calculates spatial relationships. These are all read operations with no side effects, no code execution, no data modification, and no destructive actions. The tool enables analysis but does not alter the screenshot, execute commands, or trigger external operations beyond returning analytical results.
From the tool's definition Tool name 'get_screenshot_info' and description 'Get basic information about a screenshot image' indicate data retrieval with no modification or execution.
Documented attack patterns abuse exactly the kind of access get_screenshot_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Layout Detector MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_screenshot_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_screenshot_info": {}
}
}get_screenshot_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get basic information about a screenshot image, including its. It is categorised as a Read tool in the Layout Detector MCP MCP Server, which means it retrieves data without modifying state.
Register the Layout Detector MCP server in PolicyLayer and add a rule for get_screenshot_info: 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 Layout Detector MCP. Nothing to install.
get_screenshot_info 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 get_screenshot_info 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 get_screenshot_info. 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.
get_screenshot_info is provided by the Layout Detector MCP server (katlis/layout-detector-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Layout Detector MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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3 Layout Detector MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.