end_run · MCP DS Toolkit Server MCP: Risk & Policy

WHAT IT DOES

What end_run does on MCP DS Toolkit Server

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

WHY IT NEEDS A POLICY

Why end_run needs a policy

Ending a run modifies the state of an experiment tracking session by closing/finalizing it. This is a state-change operation (Write) rather than purely destructive since the run data is likely preserved. However, it could cause loss of in-progress metrics or data if misused, warranting medium severity.

From the tool's definition End the current run

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

end_run Rate-limited

end_run 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": {
    "end_run": {
      "limits": [
        {
          "counter": "end_run_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 MCP DS Toolkit Server, so you can run agents against it safely.

FAQ

Questions about end_run

What does the end_run tool do? +

End the current run. It is categorised as a Write tool in the MCP DS Toolkit 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 end_run? +

Register the MCP DS Toolkit Server MCP server in PolicyLayer and add a rule for end_run: 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 MCP DS Toolkit Server. Nothing to install.

What risk level is end_run? +

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

Can I rate-limit end_run? +

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

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

end_run is provided by the MCP DS Toolkit Server MCP server (yasserelhaddar/mcp-ds-toolkit-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.