linear_regression_calculator · JeffersonStats MCP

WHAT IT DOES

What linear_regression_calculator does on JeffersonStats

AI agents invoke linear_regression_calculator to trigger actions in JeffersonStats. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why linear_regression_calculator needs a policy

The tool runs a statistical algorithm (linear regression) on input data and returns results. It does not read from or write to any persistent store, delete data, or move money. It falls under Execute because it performs a computation/calculation whose outputs depend on the arguments passed, similar to other analytical execution tools.

From the tool's definition 'perform simple linear regression between two variables' — executes a statistical computation on provided data

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

linear_regression_calculator Rate-limited

linear_regression_calculator stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "linear_regression_calculator": {
      "limits": [
        {
          "counter": "linear_regression_calculator_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches JeffersonStats, so you can run agents against it safely.

FAQ

Questions about linear_regression_calculator

What does the linear_regression_calculator tool do? +

A tool to perform simple linear regression between two variables. It is categorised as a Execute tool in the JeffersonStats MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on linear_regression_calculator? +

Register the JeffersonStats MCP server in PolicyLayer and add a rule for linear_regression_calculator: 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 JeffersonStats. Nothing to install.

What risk level is linear_regression_calculator? +

linear_regression_calculator is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit linear_regression_calculator? +

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

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

linear_regression_calculator is provided by the JeffersonStats MCP server (sharabhshukla/jeffersonstatsmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.