Medium Risk

convertFindingsToWorkItems

Convert exploratory test findings to work items

How to control convertFindingsToWorkItems ↓

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

Medium Risk

The tool creates new work items in Azure DevOps, which is a reversible data modification operation. This falls under Write category rather than Execute, as it doesn't run arbitrary code or scripts - it transforms structured test findings into standardized work items.

From the tool's definition 'Convert exploratory test findings to work items' - this tool creates new work items based on test findings, which is a create/write operation that modifies the Azure DevOps work item repository.

Documented attack patterns abuse exactly the kind of access convertFindingsToWorkItems gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Azure Devops, and nothing reaches the server without passing your rules. This is the rule we recommend for convertFindingsToWorkItems:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "convertFindingsToWorkItems": {
      "limits": [
        {
          "counter": "convertfindingstoworkitems_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

convertFindingsToWorkItems 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.

  1. Create a free account and register Azure Devops — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the convertFindingsToWorkItems tool do? +

Convert exploratory test findings to work items. It is categorised as a Write tool in the Azure Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on convertFindingsToWorkItems? +

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

What risk level is convertFindingsToWorkItems? +

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

Can I rate-limit convertFindingsToWorkItems? +

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

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

convertFindingsToWorkItems is provided by the Azure Devops MCP server (ryancardin15/azuredevops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure Devops tool call.

Deterministic rules across all 97 Azure Devops tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

97 Azure Devops tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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