execute_workflow · Ai Analyst MCP: Risk & Policy

WHAT IT DOES

What execute_workflow does on Ai Analyst

AI agents invoke execute_workflow to trigger actions in Ai Analyst. 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 execute_workflow needs a policy

This tool executes workflows containing multiple queries whose outcomes are not predetermined and depend on external inputs (the workflow definition, parameters, and underlying data state). While the tool itself does not destructively delete data, it performs dynamic query execution that can modify state or trigger side effects determined by workflow logic.

From the tool's definition Tool name is 'execute_workflow' and description states it will 'Execute a multi-query workflow' — the verb 'Execute' combined with 'multi-query workflow' indicates the tool runs queries whose effects depend on the workflow definition and parameters provided.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_workflow Rate-limited

execute_workflow 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": {
    "execute_workflow": {
      "limits": [
        {
          "counter": "execute_workflow_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 Ai Analyst, so you can run agents against it safely.

FAQ

Questions about execute_workflow

What does the execute_workflow tool do? +

Execute a multi-query workflow with dependency resolution and optimization. It is categorised as a Execute tool in the Ai Analyst MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_workflow? +

Register the Ai Analyst MCP server in PolicyLayer and add a rule for execute_workflow: 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 Ai Analyst. Nothing to install.

What risk level is execute_workflow? +

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

Can I rate-limit execute_workflow? +

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

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

execute_workflow is provided by the Ai Analyst MCP server (sbdk-dev/local-ai-analyst). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.