update_dataset · Langfuse Mcp Python MCP: Risk & Policy

WHAT IT DOES

What update_dataset does on Langfuse Mcp Python

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

WHY IT NEEDS A POLICY

Why update_dataset needs a policy

This tool modifies dataset properties without deleting or destroying data, and does not execute code or move money. The write operation is reversible (properties can be updated again), making it a Write-category risk.

From the tool's definition Tool name 'update_dataset' and description 'Update dataset properties' indicate modification of existing data in a reversible manner.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_dataset Rate-limited

update_dataset 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_dataset": {
      "limits": [
        {
          "counter": "update_dataset_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 Langfuse Mcp Python, so you can run agents against it safely.

FAQ

Questions about update_dataset

What does the update_dataset tool do? +

Update dataset properties. It is categorised as a Write tool in the Langfuse Mcp Python 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_dataset? +

Register the Langfuse Mcp Python MCP server in PolicyLayer and add a rule for update_dataset: 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 Langfuse Mcp Python. Nothing to install.

What risk level is update_dataset? +

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

Can I rate-limit update_dataset? +

Yes. Add a rate_limit block to the update_dataset 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_dataset completely? +

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

update_dataset is provided by the Langfuse Mcp Python MCP server (log-logn/langfuse-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.