create_visual · Cloudera Data Visualization MCP Server MCP

WHAT IT DOES

What create_visual does on Cloudera Data Visualization MCP Server

AI agents use create_visual 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 create_visual needs a policy

This tool creates a new visual artifact in Cloudera Data Visualization, which is a reversible write operation. While it modifies the system state by adding a new resource, the action can be undone by deleting the visual. The scope is limited to visual creation without destructive or financial implications.

From the tool's definition Tool is named 'create_visual' and explicitly described as 'Create a CDV visual using the raw admin API.' The verb 'create' indicates data creation/modification rather than retrieval or deletion.

Risk signalsAdmin/system-level operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_visual Rate-limited

create_visual 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": {
    "create_visual": {
      "limits": [
        {
          "counter": "create_visual_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 create_visual

What does the create_visual tool do? +

Create a CDV visual using the raw admin API. 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 create_visual? +

Register the Cloudera Data Visualization MCP Server MCP server in PolicyLayer and add a rule for create_visual: 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 create_visual? +

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

Can I rate-limit create_visual? +

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

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

create_visual 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.