AI agents use pionex.orders.new_order to commit financial operations through Pionex — usually the final step of a payment, billing, or trading workflow. A call moves real money.
Pionex is a cryptocurrency trading platform. A 'new_order' tool on such a platform creates a trade order, which commits financial obligations (buying or selling assets). This falls squarely in the Financial category, which is the most severe.
From the tool's definition Tool name 'pionex.orders.new_order' on a trading platform (Pionex) that exposes REST APIs; 'new_order' strongly implies placing a financial trade order.
Attacks that exploit this kind of access
pionex.orders.new_order. It is categorised as a Financial tool in the Pionex MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Pionex MCP server in PolicyLayer and add a rule for pionex.orders.new_order: 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 Pionex. Nothing to install.
pionex.orders.new_order is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the pionex.orders.new_order 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 pionex.orders.new_order. 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.
pionex.orders.new_order is provided by the Pionex MCP server (pionex-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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