pr_causal_infer · Claude Flow MCP: Risk & Policy

WHAT IT DOES

What pr_causal_infer does on Claude Flow

AI agents invoke pr_causal_infer to trigger actions in Claude Flow. 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 pr_causal_infer needs a policy

The tool runs a computational process (causal inference analysis) rather than simply reading stored data or writing/modifying records. Do-calculus inference involves executing algorithms over data to derive causal relationships. It does not appear to delete data or move money, making Execute the most appropriate category.

From the tool's definition 'Perform causal inference using do-calculus' — this tool executes a statistical/mathematical computation (causal inference via do-calculus) based on provided arguments

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

pr_causal_infer Rate-limited

pr_causal_infer 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": {
    "pr_causal_infer": {
      "limits": [
        {
          "counter": "pr_causal_infer_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 Claude Flow, so you can run agents against it safely.

FAQ

Questions about pr_causal_infer

What does the pr_causal_infer tool do? +

Perform causal inference using do-calculus. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pr_causal_infer? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for pr_causal_infer: 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 Claude Flow. Nothing to install.

What risk level is pr_causal_infer? +

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

Can I rate-limit pr_causal_infer? +

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

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

pr_causal_infer is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.