List all optimizations for a project. Args: project_id: ID of the project to list optimizations for Returns: Dictionary containing list of optimizations
AI agents call list_optimizations 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 retrieves and queries optimization data for a given project without side effects. It is a read-only operation that fetches existing information, matching the Read category definition of 'retrieves or queries data; no side effects (search, list, get, fetch)'.
From the tool's definition Tool name 'list_optimizations' and description explicitly states it 'List all optimizations for a project' with a return value of 'Dictionary containing list of optimizations'. No modification, deletion, or execution of code occurs.
Documented attack patterns abuse exactly the kind of access list_optimizations 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_optimizations:
{
"version": "1",
"default": "deny",
"tools": {
"list_optimizations": {}
}
}list_optimizations 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 optimizations for a project. Args: project_id: ID of the project to list optimizations for Returns: Dictionary containing list of optimizations. 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_optimizations: 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_optimizations 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_optimizations 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_optimizations. 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_optimizations 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.
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50 QuantConnect MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.