Get the prediction market leaderboard — top wallets by prediction score.
AI agents call mt_prediction_leaderboard to retrieve information from MolTrust MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a straightforward data retrieval operation. It queries and returns leaderboard rankings without creating, modifying, deleting, or executing operations. There are no side effects, no financial transactions, and no destructive actions. The blast radius of misuse is minimal — an agent could only retrieve leaderboard data that is likely already public.
From the tool's definition 'Get the prediction market leaderboard' — retrieves and queries ranking data; 'top wallets by prediction score' indicates data aggregation/retrieval with no state modification.
Attacks that exploit this kind of access
Get the prediction market leaderboard — top wallets by prediction score. It is categorised as a Read tool in the MolTrust MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MolTrust MCP Server MCP server in PolicyLayer and add a rule for mt_prediction_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 MolTrust MCP Server. Nothing to install.
mt_prediction_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 mt_prediction_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 mt_prediction_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.
mt_prediction_leaderboard is provided by the MolTrust MCP Server MCP server (pypi:moltrust-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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