Delete a backtest from a project. Args: project_id: ID of the project containing the backtest backtest_id: ID of the backtest to delete Returns: Dictionary containing deletion result
AI agents call delete_backtest to permanently remove resources in QuantConnect MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool irreversibly deletes data (a backtest) that cannot be undone. While the blast radius is limited to a single backtest rather than an entire project or account, the permanent loss of historical backtest results and configurations represents a significant destructive action. Classified as Destructive rather than Write because deletion is not reversible.
From the tool's definition Tool name 'delete_backtest' and description explicitly states 'Delete a backtest from a project' with no option to recover or undo the operation.
Documented attack patterns abuse exactly the kind of access delete_backtest gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantConnect MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_backtest:
{
"version": "1",
"default": "deny",
"hide": [
"delete_backtest"
]
}delete_backtest disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Delete a backtest from a project. Args: project_id: ID of the project containing the backtest backtest_id: ID of the backtest to delete Returns: Dictionary containing deletion result. It is categorised as a Destructive tool in the QuantConnect MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for delete_backtest: 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 QuantConnect MCP Server. Nothing to install.
delete_backtest 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 delete_backtest 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 delete_backtest. 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.
delete_backtest is provided by the QuantConnect MCP Server MCP server (taylorwilsdon/quantconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 50 QuantConnect MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
50 QuantConnect MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.