create_dashboard · Watsonx Visualization MCP Server MCP

WHAT IT DOES

What create_dashboard does on Watsonx Visualization MCP Server

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

WHY IT NEEDS A POLICY

Why create_dashboard needs a policy

This tool creates new dashboard objects and visualizations, which is a write operation that stores data but does not irreversibly destroy data (Destructive), execute arbitrary code with unpredictable effects (Execute), move money (Financial), or merely read existing data (Read).

From the tool's definition Tool creates a comprehensive dashboard with multiple visualizations, which involves generating and storing new content. The description explicitly uses 'Create' indicating a write operation that generates new artifacts (dashboards with visualizations).

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

FAQ

Questions about create_dashboard

What does the create_dashboard tool do? +

Create a comprehensive dashboard with multiple visualizations and analysis. It is categorised as a Write tool in the Watsonx 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 Watsonx 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 Watsonx 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 Watsonx Visualization MCP Server MCP server (tdognin/watsonx-visualization-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.