List all saved Moom layouts
AI agents call list_layouts to retrieve information from Moom MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing layout configurations without modifying, deleting, or executing any operations. It is a pure read operation that retrieves data about saved window layout presets. The blast radius of misuse is minimal—an AI could only discover what layouts exist, posing no risk to system state or user data.
From the tool's definition Tool name 'list_layouts' and description 'List all saved Moom layouts' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all saved Moom layouts. It is categorised as a Read tool in the Moom MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Moom MCP Server MCP server in PolicyLayer and add a rule for list_layouts: 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 Moom MCP Server. Nothing to install.
list_layouts 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 list_layouts 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 list_layouts. 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.
list_layouts is provided by the Moom MCP Server MCP server (itrimble/moom-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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