run_custom_df_edit_code

WHAT IT DOES

What run_custom_df_edit_code does on Vibe Preprocessing and Analysis MCP Server

AI agents invoke run_custom_df_edit_code to trigger actions in Vibe Preprocessing and Analysis MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why run_custom_df_edit_code needs a policy

Tools that execute custom code are categorized as Execute because their effects depend entirely on the code arguments supplied. This creates significant blast radius if an AI agent is compromised or manipulated—arbitrary code execution can read, modify, or destroy data, exfiltrate information, or consume resources. High severity reflects potential for uncontrolled side effects.

From the tool's definition Tool name 'run_custom_df_edit_code' indicates execution of custom code on dataframe objects. Empty description prevents full assessment, but context of sibling tools (load_csv, drop_columns, handle_null_values) and server purpose (data manipulation) suggests…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_custom_df_edit_code Rate-limited

run_custom_df_edit_code stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_custom_df_edit_code": {
      "limits": [
        {
          "counter": "run_custom_df_edit_code_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about run_custom_df_edit_code

What does the run_custom_df_edit_code tool do? +

run_custom_df_edit_code. It is categorised as a Execute tool in the Vibe Preprocessing and Analysis MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_custom_df_edit_code? +

Register the Vibe Preprocessing and Analysis MCP Server MCP server in PolicyLayer and add a rule for run_custom_df_edit_code: 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 Vibe Preprocessing and Analysis MCP Server. Nothing to install.

What risk level is run_custom_df_edit_code? +

run_custom_df_edit_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_custom_df_edit_code? +

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

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

run_custom_df_edit_code is provided by the Vibe Preprocessing and Analysis MCP Server MCP server (mudit14224/vibe-data-analysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.