update_dataset · Cloudera Data Visualization MCP Server MCP

WHAT IT DOES

What update_dataset does on Cloudera Data Visualization MCP Server

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

WHY IT NEEDS A POLICY

Why update_dataset needs a policy

This tool modifies data reversibly by updating dataset configurations, schemas, or content. While not destructive (data is not deleted), the impact is significant because dataset modifications can affect all dependent visuals and dashboards, potentially causing downstream analytics to break or produce incorrect results.

From the tool's definition Tool name 'update_dataset' and description 'Update an existing CDV dataset' indicate modification of existing data.

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 Cloudera Data Visualization MCP Server, so you can run agents against it safely.

FAQ

Questions about update_dataset

What does the update_dataset tool do? +

Update an existing CDV dataset by its numeric ID. It is categorised as a Write tool in the Cloudera Data Visualization MCP 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 update_dataset? +

Register the Cloudera Data Visualization MCP Server 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 Cloudera Data Visualization MCP Server. 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 Cloudera Data Visualization MCP Server MCP server (kevintalbert/cdv-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.