generalized_linear_model_estimator

WHAT IT DOES

What generalized_linear_model_estimator does on DoWhy MCP v2 0

AI agents invoke generalized_linear_model_estimator to trigger actions in DoWhy MCP v2 0. 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 generalized_linear_model_estimator needs a policy

This tool executes a causal inference estimation algorithm (generalized linear model) to compute causal effects. It does not merely read stored data but actively runs a computational procedure whose outputs depend on input arguments. No destructive, financial, or write side effects are indicated, placing it in Execute.

From the tool's definition "估计因果效应" (estimates causal effects) using a generalized linear model estimator — runs a statistical modeling/estimation procedure over data

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generalized_linear_model_estimator Rate-limited

generalized_linear_model_estimator 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": {
    "generalized_linear_model_estimator": {
      "limits": [
        {
          "counter": "generalized_linear_model_estimator_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 DoWhy MCP v2 0, so you can run agents against it safely.

FAQ

Questions about generalized_linear_model_estimator

What does the generalized_linear_model_estimator tool do? +

使用 DoWhy 原生广义线性模型估计因果效应. It is categorised as a Execute tool in the DoWhy MCP v2 0 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generalized_linear_model_estimator? +

Register the DoWhy MCP v2 0 MCP server in PolicyLayer and add a rule for generalized_linear_model_estimator: 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 DoWhy MCP v2 0. Nothing to install.

What risk level is generalized_linear_model_estimator? +

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

Can I rate-limit generalized_linear_model_estimator? +

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

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

generalized_linear_model_estimator is provided by the DoWhy MCP v2 0 MCP server (lesong36/dowhy_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.