Cancel a pending order in the Trading Panel by its visible order_id. CONSENT REQUIRED: you must pass { consent: true } explicitly.
AI agents call trading_cancel_order to permanently remove resources in TradingView MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
An AI agent that decides to call trading_cancel_order doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from TradingView MCP is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
Cancel a pending order in the Trading Panel by its visible order_id. CONSENT REQUIRED: you must pass { consent: true } explicitly. It is categorised as a Destructive tool in the TradingView MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the TradingView MCP server in PolicyLayer and add a rule for trading_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 TradingView MCP. Nothing to install.
trading_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 trading_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 trading_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.
trading_cancel_order is provided by the TradingView MCP server (ulianbass/tradingview-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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