rename_columns · DataBeak MCP: Risk & Policy

WHAT IT DOES

What rename_columns does on DataBeak

AI agents use rename_columns 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 rename_columns needs a policy

Renaming columns modifies data structure reversibly without deleting or executing code. This is a Write operation rather than Read (no retrieval of data) or Execute (no code execution). Severity is medium because incorrect renames could corrupt downstream analysis or dependencies on column names, but the action is reversible.

From the tool's definition Tool name 'rename_columns' indicates modification of column metadata/structure in a CSV dataset. The server description states it provides tools for 'transform, analyze, and validate CSV data', and rename_columns is listed among sibling transformation tools…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rename_columns Rate-limited

rename_columns 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": {
    "rename_columns": {
      "limits": [
        {
          "counter": "rename_columns_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 rename_columns

What does the rename_columns tool do? +

rename_columns. 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 rename_columns? +

Register the DataBeak MCP server in PolicyLayer and add a rule for rename_columns: 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 rename_columns? +

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

Can I rate-limit rename_columns? +

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

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

rename_columns 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.