plot_scatter · ML Research MCP: Risk & Policy

WHAT IT DOES

What plot_scatter does on ML Research MCP

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

WHY IT NEEDS A POLICY

Why plot_scatter needs a policy

Based on the server context and sibling tools (plot_bar, plot_box, plot_line, etc.), plot_scatter almost certainly generates a scatter plot visualization and writes/saves an output file. This is a Write operation (creating a figure artifact). The empty description lowers confidence, but the pattern is highly consistent with the other plotting tools on this server.

From the tool's definition Tool name 'plot_scatter' on a server described as providing tools for 'creating publication-quality scientific visualizations, statistical plots, and 2D data representations'; description is empty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

plot_scatter Rate-limited

plot_scatter 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": {
    "plot_scatter": {
      "limits": [
        {
          "counter": "plot_scatter_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 ML Research MCP, so you can run agents against it safely.

FAQ

Questions about plot_scatter

What does the plot_scatter tool do? +

plot_scatter. It is categorised as a Write tool in the ML Research MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plot_scatter? +

Register the ML Research MCP server in PolicyLayer and add a rule for plot_scatter: 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 ML Research MCP. Nothing to install.

What risk level is plot_scatter? +

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

Can I rate-limit plot_scatter? +

Yes. Add a rate_limit block to the plot_scatter 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 plot_scatter completely? +

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

plot_scatter is provided by the ML Research MCP server (nishide-dev/ml-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.