analyze_correlation · VayuChat MCP: Risk & Policy

WHAT IT DOES

What analyze_correlation does on VayuChat MCP

AI agents invoke analyze_correlation to trigger actions in VayuChat MCP. 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 analyze_correlation needs a policy

While the tool's purpose is to read/query data (analyzing correlations between numeric columns), it operates within a server that executes Python code. The correlation analysis likely runs pandas/numpy computations rather than simply retrieving stored data. Given sibling tools like 'execute_code' and the server's execution model, this is best classified as Execute.

From the tool's definition Server description states it allows users to 'execute Python code with pandas and numpy'; 'analyze_correlation' runs analytical computation over loaded datasets to produce correlation results

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_correlation Rate-limited

analyze_correlation 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": {
    "analyze_correlation": {
      "limits": [
        {
          "counter": "analyze_correlation_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 VayuChat MCP, so you can run agents against it safely.

FAQ

Questions about analyze_correlation

What does the analyze_correlation tool do? +

Analyze correlations between numeric columns. It is categorised as a Execute tool in the VayuChat MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_correlation? +

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

What risk level is analyze_correlation? +

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

Can I rate-limit analyze_correlation? +

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

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

analyze_correlation is provided by the VayuChat MCP server (nipunbatra/vayuchat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.