create_extract · Cloudera Data Visualization MCP Server MCP

WHAT IT DOES

What create_extract does on Cloudera Data Visualization MCP Server

AI agents use create_extract 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_extract needs a policy

The 'create_extract' tool follows the naming pattern of other Write operations on this server (create_*). It likely creates a data extract—a reversible operation that generates or stores derived data within the visualization platform.

From the tool's definition Tool name 'create_extract' indicates data creation/modification. Server context shows tools for creating various Cloudera Data Visualization resources. No destructive or financial operations evident.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_extract Rate-limited

create_extract 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_extract": {
      "limits": [
        {
          "counter": "create_extract_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_extract

What does the create_extract tool do? +

create_extract. 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_extract? +

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

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

Can I rate-limit create_extract? +

Yes. Add a rate_limit block to the create_extract 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_extract completely? +

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

create_extract 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.