scatter_plot

Create a scatter plot from CSV or Excel data for correlation analysis.

SERVERCLIO Adios SOURCEpypi:clio-kit

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/scatter-plot.md

WHAT IT DOES

What scatter_plot does on CLIO Adios

AI agents use scatter_plot to create or update resources in CLIO Adios, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CLIO Adios environment.

RISK

Why scatter_plot is rated Medium

This tool reads input data (CSV/Excel) and generates a visualization artifact (scatter plot). While the artifact creation involves writing output, it does not modify the source data, delete anything, execute code, or move money. It's Write rather than Read because it produces a new output/artifact rather than merely querying or retrieving existing data.

From the tool's definition Tool creates a scatter plot from CSV or Excel data. The description uses language implying output generation ("Create a scatter plot") which modifies the local state by producing a new visualization artifact.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scatter_plot safely

PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scatter_plot, this is the rule to start with:

scatter_plot Rate-limited

scatter_plot 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": {
    "scatter_plot": {
      "limits": [
        {
          "counter": "scatter_plot_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every scatter_plot call is checked against it from then on.

FAQ

Questions about scatter_plot

What does the scatter_plot tool do? +

Create a scatter plot from CSV or Excel data for correlation analysis. It is categorised as a Write tool in the CLIO Adios MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on scatter_plot? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for scatter_plot: 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 CLIO Adios. Nothing to install.

What risk level is scatter_plot? +

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

Can I rate-limit scatter_plot? +

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

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

scatter_plot is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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