批次取消某市場的掛單
AI agents call cancel_orders to permanently remove resources in MAX Exchange MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling orders is irreversible — once cancelled, the open orders are removed and cannot be restored. Batch cancellation amplifies the blast radius since multiple orders across a market are affected simultaneously. This falls under Destructive as the action cannot be undone, though no funds are directly moved.
From the tool's definition 批次取消某市場的掛單 (Batch cancel pending orders in a market)
Attacks that exploit this kind of access
批次取消某市場的掛單. It is categorised as a Destructive tool in the MAX Exchange MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MAX Exchange MCP Server MCP server in PolicyLayer and add a rule for cancel_orders: 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 MAX Exchange MCP Server. Nothing to install.
cancel_orders is a Destructive 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 cancel_orders 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 cancel_orders. 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.
cancel_orders is provided by the MAX Exchange MCP Server MCP server (nicky512500/max-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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