lock_project_with_collaborators

WHAT IT DOES

What lock_project_with_collaborators does on QuantConnect MCP Server

AI agents use lock_project_with_collaborators 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.

WHY IT NEEDS A POLICY

Why lock_project_with_collaborators needs a policy

This tool modifies project metadata/state (the lock status) reversibly; collaborators can unlock it later. It does not delete data, execute arbitrary code, or move money. While it affects access control and could be disruptive in a multi-user environment if misused, the action is reversible. The Write category fits: the tool changes system state in a way that controls resource access.

From the tool's definition lock_project_with_collaborators is described as 'Lock a project so you can edit it' — this modifies project state by acquiring an exclusive editing lock, preventing other collaborators from editing simultaneously.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

lock_project_with_collaborators Rate-limited

lock_project_with_collaborators 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "lock_project_with_collaborators": {
      "limits": [
        {
          "counter": "lock_project_with_collaborators_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches QuantConnect MCP Server, so you can run agents against it safely.

FAQ

Questions about lock_project_with_collaborators

What does the lock_project_with_collaborators tool do? +

Lock a project so you can edit it. 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.

How do I enforce a policy on lock_project_with_collaborators? +

Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for lock_project_with_collaborators: 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.

What risk level is lock_project_with_collaborators? +

lock_project_with_collaborators is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit lock_project_with_collaborators? +

Yes. Add a rate_limit block to the lock_project_with_collaborators 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.

How do I block lock_project_with_collaborators completely? +

Set action: deny in the PolicyLayer policy for lock_project_with_collaborators. 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.

What MCP server provides lock_project_with_collaborators? +

lock_project_with_collaborators is provided by the QuantConnect MCP Server MCP server (mymanish9-code11/quantconnect-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.