Analyze the layout of assets in a screenshot. Finds all assets,
AI agents call analyze_layout 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 performs analysis and extraction of existing data from screenshots (locating image assets, calculating spatial relationships). It retrieves information about layout structure but does not create, modify, delete, or execute code. No side effects or irreversible actions are performed. This is a classic Read operation: passive analysis and data retrieval.
From the tool's definition Tool description states it 'Analyzes webpage screenshots to extract precise layout information' and 'Finds all assets' — operations that retrieve and query visual data without modifying, deleting, or executing external operations.
Documented attack patterns abuse exactly the kind of access analyze_layout 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 analyze_layout:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_layout": {}
}
}analyze_layout is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze the layout of assets in a screenshot. Finds all assets,. 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 analyze_layout: 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.
analyze_layout 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 analyze_layout 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 analyze_layout. 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.
analyze_layout 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.