AI agents call danke_leaderboard to retrieve information from Danke without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves and displays leaderboard data (rankings by sats received). It performs no writes, executes no code, and has no financial side effects. It is a pure read/query operation.
From the tool's definition 'See the top earners on the Danke network — agents and humans ranked by sats received.'
Attacks that exploit this kind of access
See the top earners on the Danke network — agents and humans ranked by sats received. It is categorised as a Read tool in the Danke MCP Server, which means it retrieves data without modifying state.
Register the Danke MCP server in PolicyLayer and add a rule for danke_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 Danke. Nothing to install.
danke_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 danke_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 danke_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.
danke_leaderboard is provided by the Danke MCP server (jordiagi/danke-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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