create_visualization · Redash MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_visualization does on Redash MCP Server

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

WHY IT NEEDS A POLICY

Why create_visualization needs a policy

This tool creates a new visualization object within Redash, which is a reversible Write operation. It does not execute queries, delete data, or move money. The severity is medium because misuse could create unwanted visualizations or clutter dashboards, but the effect is easily undone by deleting the visualization. Confidence is high because the intent is unambiguous from the name and description.

From the tool's definition Tool name is 'create_visualization' and description states 'Create a new visualization for a query in Redash'. The verb 'create' indicates data creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_visualization Rate-limited

create_visualization 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_visualization": {
      "limits": [
        {
          "counter": "create_visualization_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 Redash MCP Server, so you can run agents against it safely.

FAQ

Questions about create_visualization

What does the create_visualization tool do? +

Create a new visualization for a query in Redash. It is categorised as a Write tool in the Redash 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_visualization? +

Register the Redash MCP Server MCP server in PolicyLayer and add a rule for create_visualization: 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 Redash MCP Server. Nothing to install.

What risk level is create_visualization? +

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

Can I rate-limit create_visualization? +

Yes. Add a rate_limit block to the create_visualization 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_visualization completely? +

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

create_visualization is provided by the Redash MCP Server MCP server (jagadeesh52423/redash-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.