create_sample_chart

THE RISK

Medium Risk

Why create_sample_chart needs a policy

This tool creates sample data visualizations for development/testing purposes. It is a Write operation because it generates new chart objects, but severity is low because: (1) sample data is typically ephemeral and not persisted to production systems, (2) no real data is modified or deleted, (3) impact is limited to development/testing contexts, and (4) creation of test artifacts poses minimal security risk.

From the tool's definition Tool name 'create_sample_chart' and description 'Create a sample chart for testing' indicate generation of new chart artifacts (sample data visualization objects) in memory or temporary storage.

Documented attack patterns abuse exactly the kind of access create_sample_chart gives an agent:

POLICY

How to control create_sample_chart

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Data Visualization Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_sample_chart:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_sample_chart": {
      "limits": [
        {
          "counter": "create_sample_chart_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_sample_chart 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.

Create a free account and register MCP Data Visualization Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More MCP Data Visualization Server tools

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All 28 MCP Data Visualization Server tools →

Write tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about create_sample_chart

What does the create_sample_chart tool do? +

Create a sample chart for testing (useful for development). It is categorised as a Write tool in the MCP Data Visualization 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_sample_chart? +

Register the MCP Data Visualization Server MCP server in PolicyLayer and add a rule for create_sample_chart: 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 MCP Data Visualization Server. Nothing to install.

What risk level is create_sample_chart? +

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

Can I rate-limit create_sample_chart? +

Yes. Add a rate_limit block to the create_sample_chart 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_sample_chart completely? +

Set action: deny in the PolicyLayer policy for create_sample_chart. 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_sample_chart? +

create_sample_chart is provided by the MCP Data Visualization Server MCP server (xoniks/mcp-visualization-duckdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Data Visualization Server tool call.

Start from MCP Data Visualization Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →