Cancel a specific order.
AI agents call cancel_order to permanently remove resources in Bybit — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling an order removes it from the order book permanently. While no money is directly moved, the action is irreversible (the cancelled order cannot be reinstated) and occurs in a financial trading context, making it Destructive with high severity due to potential trading impact.
From the tool's definition 'Cancel a specific order' — cancelling an order is an irreversible action that terminates a live trading order and cannot be undone.
Attacks that exploit this kind of access
Cancel a specific order. It is categorised as a Destructive tool in the Bybit MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Bybit MCP server in PolicyLayer and add a rule for cancel_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 Bybit. Nothing to install.
cancel_order 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_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 cancel_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.
cancel_order is provided by the Bybit MCP server (johnnywic/bybit-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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