ado_add_pull_request_reviewer · Mcp Azure MCP: Risk & Policy

WHAT IT DOES

What ado_add_pull_request_reviewer does on Mcp Azure

AI agents use ado_add_pull_request_reviewer to create or update resources in Mcp Azure — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Azure environment.

WHY IT NEEDS A POLICY

Why ado_add_pull_request_reviewer needs a policy

This tool creates or modifies metadata on a pull request by adding a reviewer assignment. It is reversible (a reviewer can be removed), produces no side effects beyond updating PR state, and does not execute code, delete data, or move money. It fits the Write category as it modifies data reversibly.

From the tool's definition Tool name 'ado_add_pull_request_reviewer' and description 'Agrega un revisor a un Pull Request' (adds a reviewer to a pull request) indicate a modification operation that changes PR metadata by assigning a reviewer.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ado_add_pull_request_reviewer Rate-limited

ado_add_pull_request_reviewer stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ado_add_pull_request_reviewer": {
      "limits": [
        {
          "counter": "ado_add_pull_request_reviewer_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Mcp Azure, so you can run agents against it safely.

FAQ

Questions about ado_add_pull_request_reviewer

What does the ado_add_pull_request_reviewer tool do? +

Agrega un revisor a un Pull Request. It is categorised as a Write tool in the Mcp Azure MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ado_add_pull_request_reviewer? +

Register the Mcp Azure MCP server in PolicyLayer and add a rule for ado_add_pull_request_reviewer: 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 Mcp Azure. Nothing to install.

What risk level is ado_add_pull_request_reviewer? +

ado_add_pull_request_reviewer is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ado_add_pull_request_reviewer? +

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

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

ado_add_pull_request_reviewer is provided by the Mcp Azure MCP server (soulberto/mcp-azure). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.