AI agents call arrangement_list to retrieve information from Clo3d without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing data about avatar arrangement points without creating, modifying, deleting, or executing operations. It is a read-only operation with minimal security risk.
From the tool's definition Tool name 'arrangement_list' and description 'List the avatar's arrangement points' indicates a query/retrieval operation that returns metadata about avatar configuration (name, type, offset, orientation) with no modification or side effects.
Attacks that exploit this kind of access
List the avatar's arrangement points (name, type, offset, orientation). It is categorised as a Read tool in the Clo3d MCP Server, which means it retrieves data without modifying state.
Register the Clo3d MCP server in PolicyLayer and add a rule for arrangement_list: 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 Clo3d. Nothing to install.
arrangement_list 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 arrangement_list 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 arrangement_list. 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.
arrangement_list is provided by the Clo3d MCP server (lilbonner/clo3d-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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