Close an open position for a specific symbol.
AI agents use close_position to commit financial operations through Alpaca Trading MCP Server — usually the final step of a payment, billing, or trading workflow. A call moves real money.
Closing a position involves selling (or buying to cover) an asset on a live trading platform, directly impacting the user's financial portfolio. This is an irreversible financial action that moves money and realizes gains or losses. It ranks at the highest severity because misuse by an AI agent could cause significant, unrecoverable financial harm.
From the tool's definition 'Close an open position for a specific symbol' — closing a trading position liquidates financial holdings, committing a real financial transaction that cannot be undone once executed.
Documented attack patterns abuse exactly the kind of access close_position gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Alpaca Trading MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for close_position:
{
"version": "1",
"default": "deny",
"tools": {
"close_position": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to close_position is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Close an open position for a specific symbol. It is categorised as a Financial tool in the Alpaca Trading MCP Server MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Alpaca Trading MCP Server MCP server in PolicyLayer and add a rule for close_position: 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 Alpaca Trading MCP Server. Nothing to install.
close_position 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 close_position 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 close_position. 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.
close_position is provided by the Alpaca Trading MCP Server MCP server (laukikk/alpaca-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Alpaca Trading MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
8 Alpaca Trading MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.