datalake_update · MongoDB Atlas MCP Server MCP

WHAT IT DOES

What datalake_update does on MongoDB Atlas MCP Server

AI agents use datalake_update to create or update resources in MongoDB Atlas MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MongoDB Atlas MCP Server environment.

WHY IT NEEDS A POLICY

Why datalake_update needs a policy

This tool modifies data lake settings or configuration but does not irreversibly delete data (which would be Destructive) or execute arbitrary code (Execute). However, the severity is high because unauthorized updates to a data lake in MongoDB Atlas could affect data availability, integrity, or expose sensitive information to unintended parties.

From the tool's definition Tool name 'datalake_update' and description 'Update a Data Lake' indicate modification of existing data lake configuration or content. The 'update' verb signifies reversible changes to data structures.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

datalake_update Rate-limited

datalake_update 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": {
    "datalake_update": {
      "limits": [
        {
          "counter": "datalake_update_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 MongoDB Atlas MCP Server, so you can run agents against it safely.

FAQ

Questions about datalake_update

What does the datalake_update tool do? +

Update a Data Lake. It is categorised as a Write tool in the MongoDB Atlas 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 datalake_update? +

Register the MongoDB Atlas MCP Server MCP server in PolicyLayer and add a rule for datalake_update: 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 MongoDB Atlas MCP Server. Nothing to install.

What risk level is datalake_update? +

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

Can I rate-limit datalake_update? +

Yes. Add a rate_limit block to the datalake_update 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 datalake_update completely? +

Set action: deny in the PolicyLayer policy for datalake_update. 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 datalake_update? +

datalake_update is provided by the MongoDB Atlas MCP Server MCP server (montumodi/mongodb-atlas-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.