generate_visualization

WHAT IT DOES

What generate_visualization does on Watsonx Visualization MCP Server

AI agents use generate_visualization 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 generate_visualization needs a policy

This tool creates new data artifacts (visualization files) in multiple output formats, which constitutes a Write operation. It doesn't retrieve existing data (Read), execute arbitrary code (Execute), delete anything (Destructive), or move money (Financial). Severity is medium because misuse could create misleading visualizations or consume storage/resources, but the effects are reversible.

From the tool's definition Tool generates visualizations and outputs them in multiple formats (HTML, PNG, Word), creating new files/artifacts. Description states it will 'generate' visualizations and produce 'output formats', indicating file creation or data modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_visualization Rate-limited

generate_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": {
    "generate_visualization": {
      "limits": [
        {
          "counter": "generate_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 Watsonx Visualization MCP Server, so you can run agents against it safely.

FAQ

Questions about generate_visualization

What does the generate_visualization tool do? +

Generate data visualizations from JSON data with automatic chart type selection, analysis, and multiple output formats (HTML, PNG, Word). 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 generate_visualization? +

Register the Watsonx Visualization MCP Server MCP server in PolicyLayer and add a rule for generate_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 Watsonx Visualization MCP Server. Nothing to install.

What risk level is generate_visualization? +

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

Can I rate-limit generate_visualization? +

Yes. Add a rate_limit block to the generate_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 generate_visualization completely? +

Set action: deny in the PolicyLayer policy for generate_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 generate_visualization? +

generate_visualization 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.