pre_deploy_gate · Power BI MCP Server MCP: Risk & Policy

WHAT IT DOES

What pre_deploy_gate does on Power BI MCP Server

AI agents invoke pre_deploy_gate to trigger actions in Power BI MCP Server. 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 pre_deploy_gate needs a policy

This tool executes quality validation logic that determines whether code/models proceed to production deployment. Although the validation itself is non-destructive, it operates as a gating mechanism for deployment execution and has significant operational impact if misconfigured or misused (blocking legitimate deployments or bypassing safeguards).

From the tool's definition Tool runs analysis operations ('runs the Best Practice Analyzer and AI-readiness audit') and enforces deployment gates with a 'PASS/FAIL verdict' that can block deployments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

pre_deploy_gate Rate-limited

pre_deploy_gate 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": {
    "pre_deploy_gate": {
      "limits": [
        {
          "counter": "pre_deploy_gate_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 Power BI MCP Server, so you can run agents against it safely.

FAQ

Questions about pre_deploy_gate

What does the pre_deploy_gate tool do? +

CI/pre-deploy quality gate: runs the Best Practice Analyzer and AI-readiness audit and returns a machine PASS/FAIL verdict with blocking issues. Fails on any BPA error (and optionally warnings) or AI score below min_ai_score. It is categorised as a Execute tool in the Power BI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pre_deploy_gate? +

Register the Power BI MCP Server MCP server in PolicyLayer and add a rule for pre_deploy_gate: 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 Power BI MCP Server. Nothing to install.

What risk level is pre_deploy_gate? +

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

Can I rate-limit pre_deploy_gate? +

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

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

pre_deploy_gate is provided by the Power BI MCP Server MCP server (sulaiman013/powerbi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.