Update a backtest's name or note. Args: project_id: ID of the project containing the backtest backtest_id: ID of the backtest to update name: Optional new name for the backtest note: Optional new note for the backtest Returns: Dictionary containing update result
AI agents use update_backtest to create or update resources in QuantConnect MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your QuantConnect MCP Server environment.
This tool modifies backtest metadata reversibly—names and notes can be changed again or reverted. It does not delete data (which would be Destructive), execute arbitrary code (which would be Execute), or move money (which would be Financial).
From the tool's definition Tool description states it can 'Update a backtest's name or note' with parameters for project_id, backtest_id, name, and note. The verb 'update' and the reversible modification of metadata fields (name, note) indicate a write operation.
Documented attack patterns abuse exactly the kind of access update_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 update_backtest:
{
"version": "1",
"default": "deny",
"tools": {
"update_backtest": {
"limits": [
{
"counter": "update_backtest_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_backtest 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.
Free to start. No card required.
Update a backtest's name or note. Args: project_id: ID of the project containing the backtest backtest_id: ID of the backtest to update name: Optional new name for the backtest note: Optional new note for the backtest Returns: Dictionary containing update result. It is categorised as a Write tool in the QuantConnect MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for update_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.
update_backtest 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 update_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 update_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.
update_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.