create_dashboard | PolicyLayer

WHAT IT DOES

What create_dashboard does on Cloudera Data Visualization MCP Server

AI agents use create_dashboard 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_dashboard needs a policy

Dashboard creation is a reversible modification action (Write category). Severity is medium because a compromised agent could create numerous dashboards consuming resources or polluting the workspace with misleading visualizations, but dashboards can be deleted and don't directly expose, destroy, or move financial assets.

From the tool's definition Tool name 'create_dashboard' indicates creation of a dashboard artifact in Cloudera Data Visualization. Sibling tools like 'create_visual', 'create_dataset', and 'create_workspace' all create reversible data objects.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_dashboard Rate-limited

create_dashboard 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_dashboard": {
      "limits": [
        {
          "counter": "create_dashboard_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_dashboard

What does the create_dashboard tool do? +

create_dashboard. 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_dashboard? +

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

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

Can I rate-limit create_dashboard? +

Yes. Add a rate_limit block to the create_dashboard 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_dashboard completely? +

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

create_dashboard 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.