update_column · DataBeak MCP: Risk & Policy

WHAT IT DOES

What update_column does on DataBeak

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

WHY IT NEEDS A POLICY

Why update_column needs a policy

The tool modifies existing column data in a reversible manner (typical CSV transformations are reversible through undo or reversion). This is a Write-category action. Severity is medium because while data modification poses risk, CSV transformations are generally scoped and the data is typically not destroyed—only transformed.

From the tool's definition Tool name 'update_column' indicates modification of existing data. Description is empty, but context from sibling tools on the DataBeak server (add_column, change_column_type, fill_column_nulls, fill_missing_values) confirms this server operates on CSV data…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_column Rate-limited

update_column 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": {
    "update_column": {
      "limits": [
        {
          "counter": "update_column_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 DataBeak, so you can run agents against it safely.

FAQ

Questions about update_column

What does the update_column tool do? +

update_column. It is categorised as a Write tool in the DataBeak MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_column? +

Register the DataBeak MCP server in PolicyLayer and add a rule for update_column: 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 DataBeak. Nothing to install.

What risk level is update_column? +

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

Can I rate-limit update_column? +

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

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

update_column is provided by the DataBeak MCP server (jonpspri/databeak). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.