AI agents call lucille_leaderboard 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 and displays historical leaderboard information—past game winners, their scores, and gameplay outcomes. There is no creation, modification, deletion, or execution of code/commands. It is a straightforward Read operation.
From the tool's definition Tool description explicitly states 'See past winners — who conquered Lucille, their scores, and which personality they beat'.
Attacks that exploit this kind of access
See past winners — who conquered Lucille, their scores, and which personality they beat. 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_leaderboard: 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_leaderboard 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_leaderboard 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_leaderboard. 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_leaderboard 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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