Cancel a specific order by order_id or cl_order_id.
AI agents call btse_cancel_order to permanently remove resources in Btse — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling an order is an irreversible action — once cancelled, the order cannot be restored. In a trading context, this can have significant financial consequences (e.g., missing a hedge or stop-loss), making it destructive in nature with high severity if misused by an AI agent.
From the tool's definition Cancel a specific order by order_id or cl_order_id
Attacks that exploit this kind of access
Cancel a specific order by order_id or cl_order_id. It is categorised as a Destructive tool in the Btse MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Btse MCP server in PolicyLayer and add a rule for btse_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 Btse. Nothing to install.
btse_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 btse_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 btse_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.
btse_cancel_order is provided by the Btse MCP server (xbotlive/btse-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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