AI agents use modify_order to create or update resources in Turtlestack Lite — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Turtlestack Lite environment.
This tool modifies existing trading orders, which is a Write operation (creates or modifies data reversibly). It does not delete orders (which would be Destructive) but changes their state. While in a trading context, the modification itself is not a financial transaction per se—it adjusts pending orders rather than executing trades or moving funds.
From the tool's definition Tool name: 'modify_order'; description: 'Modify an existing order'. This is a trading context where orders are financial instruments, and modifying an order changes its parameters (quantity, price, order type, etc.) reversibly.
Documented attack patterns abuse exactly the kind of access modify_order gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Turtlestack Lite, and nothing reaches the server without passing your rules. This is the rule we recommend for modify_order:
{
"version": "1",
"default": "deny",
"tools": {
"modify_order": {
"limits": [
{
"counter": "modify_order_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}modify_order stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Modify an existing order. It is categorised as a Write tool in the Turtlestack Lite MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Turtlestack Lite MCP server in PolicyLayer and add a rule for modify_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 Turtlestack Lite. Nothing to install.
modify_order is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the modify_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 modify_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.
modify_order is provided by the Turtlestack Lite MCP server (turtlehq-tech/turtlestack-lite). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Turtlestack Lite, 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.
45 Turtlestack Lite tools catalogued and risk-classified — across an index of 43,000+ MCP servers.