List all backtests for a project. Args: project_id: ID of the project to list backtests from Returns: Dictionary containing list of backtests
AI agents call list_backtests to retrieve information from QuantConnect MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns backtest data for a given project without creating, modifying, deleting, or executing any operations. It is a pure read operation with no side effects. The severity is low because merely listing backtests poses minimal risk—the worst case is information disclosure of backtests that already exist in the user's own project.
From the tool's definition Tool name is 'list_backtests' and description states it 'List all backtests for a project' with return of 'Dictionary containing list of backtests'.
Documented attack patterns abuse exactly the kind of access list_backtests 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 list_backtests:
{
"version": "1",
"default": "deny",
"tools": {
"list_backtests": {}
}
}list_backtests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all backtests for a project. Args: project_id: ID of the project to list backtests from Returns: Dictionary containing list of backtests. It is categorised as a Read tool in the QuantConnect MCP Server MCP Server, which means it retrieves data without modifying state.
Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for list_backtests: 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.
list_backtests is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_backtests 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 list_backtests. 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.
list_backtests 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.