run_rdataframe · CERN ROOT MCP Server MCP: Risk & Policy

WHAT IT DOES

What run_rdataframe does on CERN ROOT MCP Server

AI agents invoke run_rdataframe to trigger actions in CERN ROOT 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_rdataframe needs a policy

This tool permits execution of ROOT RDataFrame workflows, which are general-purpose computational operations. While histogramming is the stated purpose, RDataFrame can express complex data transformations and filters whose outputs depend entirely on user-provided arguments.

From the tool's definition Tool runs RDataFrame computations on CERN ROOT files, which executes data analysis operations whose effects depend on arguments (ROOT framework code execution). RDataFrame is a ROOT computational engine that evaluates arbitrary analysis workflows.

Risk signalsAdmin/system-level operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_rdataframe Rate-limited

run_rdataframe 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_rdataframe": {
      "limits": [
        {
          "counter": "run_rdataframe_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 CERN ROOT MCP Server, so you can run agents against it safely.

FAQ

Questions about run_rdataframe

What does the run_rdataframe tool do? +

Compute a 1D histogram using ROOT RDataFrame. It is categorised as a Execute tool in the CERN ROOT 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_rdataframe? +

Register the CERN ROOT MCP Server MCP server in PolicyLayer and add a rule for run_rdataframe: 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 CERN ROOT MCP Server. Nothing to install.

What risk level is run_rdataframe? +

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

Can I rate-limit run_rdataframe? +

Yes. Add a rate_limit block to the run_rdataframe 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_rdataframe completely? +

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

run_rdataframe is provided by the CERN ROOT MCP Server MCP server (mohamedelashri/root-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.