AI agents use create_batch_orders to commit financial operations through Paper MCP Server — usually the final step of a payment, billing, or trading workflow. A call moves real money.
Creating multiple orders simultaneously on a trading platform directly commits financial obligations by placing trades. The batch nature amplifies the blast radius significantly — an AI agent could place many unintended trades at once, making this critical severity.
From the tool's definition 'Create multiple orders at once' on a trading platform API that handles trades
Documented attack patterns abuse exactly the kind of access create_batch_orders gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Paper MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_batch_orders:
{
"version": "1",
"default": "deny",
"tools": {
"create_batch_orders": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to create_batch_orders is blocked until a human approves it. The rest of the server keeps working.
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Create multiple orders at once. It is categorised as a Financial tool in the Paper MCP Server MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Paper MCP Server MCP server in PolicyLayer and add a rule for create_batch_orders: 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 Paper MCP Server. Nothing to install.
create_batch_orders 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 create_batch_orders 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 create_batch_orders. 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.
create_batch_orders is provided by the Paper MCP Server MCP server (paperinvest/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Paper 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.
23 Paper MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.