AI agents use update_file_name to create or update resources in QuantConnect — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your QuantConnect environment.
Renaming a file is a write operation that creates a new reference to existing data and is reversible (can be renamed again). It is not destructive (original data remains intact), not read-only, and carries medium severity due to potential workflow disruption if critical files are renamed in a live trading environment, though impact is limited by reversibility.
From the tool's definition Tool explicitly "Update the name of a file", which modifies file metadata reversibly through renaming rather than deletion or content alteration.
Documented attack patterns abuse exactly the kind of access update_file_name gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for update_file_name:
{
"version": "1",
"default": "deny",
"tools": {
"update_file_name": {
"limits": [
{
"counter": "update_file_name_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_file_name 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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Update the name of a file. It is categorised as a Write tool in the QuantConnect MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the QuantConnect MCP server in PolicyLayer and add a rule for update_file_name: 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. Nothing to install.
update_file_name 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_file_name 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_file_name. 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_file_name is provided by the QuantConnect MCP server (quantconnect/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 64 QuantConnect tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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64 QuantConnect tools catalogued and risk-classified — across an index of 42,500+ MCP servers.