AI agents invoke sell_stock_stop to trigger actions in Open Paper Trading MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Although this is a paper trading context (no real financial risk), the tool executes conditional market operations that have irreversible consequences within the trading system (orders placed cannot be instantly undone if market conditions trigger execution).
From the tool's definition Tool name 'sell_stock_stop' and description 'Place a stop sell order for stocks' indicate execution of a market trading action.
Documented attack patterns abuse exactly the kind of access sell_stock_stop gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Open Paper Trading MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for sell_stock_stop:
{
"version": "1",
"default": "deny",
"tools": {
"sell_stock_stop": {
"limits": [
{
"counter": "sell_stock_stop_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}sell_stock_stop stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Place a stop sell order for stocks. It is categorised as a Execute tool in the Open Paper Trading MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Open Paper Trading MCP server in PolicyLayer and add a rule for sell_stock_stop: 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 Open Paper Trading MCP. Nothing to install.
sell_stock_stop is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sell_stock_stop 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 sell_stock_stop. 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.
sell_stock_stop is provided by the Open Paper Trading MCP server (open-agent-tools/open-paper-trading-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Open Paper Trading MCP, 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.
44 Open Paper Trading MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.