AI agents call lucille_agent_profile to retrieve information from Lucille without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves agent profile information without side effects. Viewing a profile is a safe read operation. Even in a gaming/NFT context, retrieving publicly queryable agent metadata poses minimal risk. Low severity due to no write, execution, or financial impact potential.
From the tool's definition Tool name contains 'profile' and description states 'View any agent' — a read-only query operation with no modification or execution capability.
Attacks that exploit this kind of access
View any agent. It is categorised as a Read tool in the Lucille MCP Server, which means it retrieves data without modifying state.
Register the Lucille MCP server in PolicyLayer and add a rule for lucille_agent_profile: 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 Lucille. Nothing to install.
lucille_agent_profile 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 lucille_agent_profile 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 lucille_agent_profile. 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.
lucille_agent_profile is provided by the Lucille MCP server (lucille-mcp-server). 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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