ado_update_pull_request · Mcp Azure MCP: Risk & Policy

WHAT IT DOES

What ado_update_pull_request does on Mcp Azure

AI agents use ado_update_pull_request 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_update_pull_request needs a policy

This tool modifies pull request properties (title, description, draft state) but does not delete, destroy, execute code, or move money. The changes are reversible—properties can be updated again. This fits the Write category. Severity is medium because misconfiguration could affect code review workflows and collaboration, but the impact is limited to metadata changes without executing code or destroying data.

From the tool's definition Tool description indicates it 'Actualiza propiedades de un Pull Request (título, descripción, estado de borrador)' — updates pull request properties including title, description, and draft status. These are reversible modifications to metadata.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ado_update_pull_request Rate-limited

ado_update_pull_request 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_update_pull_request": {
      "limits": [
        {
          "counter": "ado_update_pull_request_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_update_pull_request

What does the ado_update_pull_request tool do? +

Actualiza propiedades de un Pull Request (título, descripción, estado de borrador). 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_update_pull_request? +

Register the Mcp Azure MCP server in PolicyLayer and add a rule for ado_update_pull_request: 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_update_pull_request? +

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

Can I rate-limit ado_update_pull_request? +

Yes. Add a rate_limit block to the ado_update_pull_request 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_update_pull_request completely? +

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

ado_update_pull_request 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.