update_work_items_batch · Ado MCP: Risk & Policy

WHAT IT DOES

What update_work_items_batch does on Ado

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

WHY IT NEEDS A POLICY

Why update_work_items_batch needs a policy

The tool performs batch updates to work items, which is a reversible modification operation. While the description is empty, the name and context clearly indicate Write capability. Severity is medium because bulk updates to work items could affect project tracking and workflows, but changes are reversible and the blast radius is limited to ADO artifacts rather than production systems or financial transactions.

From the tool's definition Tool name 'update_work_items_batch' indicates bulk modification of work items. Sibling tools include 'delete_work_items_batch' and 'create_work_item', establishing a pattern of Write operations on work items within Azure DevOps.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_work_items_batch Rate-limited

update_work_items_batch 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": {
    "update_work_items_batch": {
      "limits": [
        {
          "counter": "update_work_items_batch_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 Ado, so you can run agents against it safely.

FAQ

Questions about update_work_items_batch

What does the update_work_items_batch tool do? +

update_work_items_batch. It is categorised as a Write tool in the Ado MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_work_items_batch? +

Register the Ado MCP server in PolicyLayer and add a rule for update_work_items_batch: 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 Ado. Nothing to install.

What risk level is update_work_items_batch? +

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

Can I rate-limit update_work_items_batch? +

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

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

update_work_items_batch is provided by the Ado MCP server (raboley/ado-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.