Low Risk

get_work_item_comments

Retrieves all comments associated with a specific work item. Use this tool when you need to: - Review discussion history about a work item - See feedback or notes left by team members - Check if specific questions have been answered - Understand the context and evolution of a work item Args: id: ...

How to control get_work_item_comments ↓

AI agents call get_work_item_comments to retrieve information from MCP Azure DevOps Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool performs a retrieval operation with no side effects. It queries existing data (comments on a work item) without creating, modifying, deleting, or executing any operations. The severity is low because exposing comment retrieval to an AI agent poses minimal risk — the worst outcome is unauthorized information disclosure of internal discussions, which is mitigated by existing Azure DevOps access controls.

From the tool's definition Tool name 'get_work_item_comments' and description explicitly state it 'Retrieves all comments' with use cases focused on 'Review discussion history', 'See feedback or notes', and 'Check if specific questions have been answered' — all read-only query…

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_work_item_comments": {}
  }
}

get_work_item_comments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register MCP Azure DevOps Server — 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 get_work_item_comments tool do? +

Retrieves all comments associated with a specific work item. Use this tool when you need to: - Review discussion history about a work item - See feedback or notes left by team members - Check if specific questions have been answered - Understand the context and evolution of a work item Args: id: The work item ID project: Optional project name. If not provided, will be determined from the work item. Returns: Formatted string containing all comments on the work item, including author names, timestamps, and content, organized chronologically and formatted as markdown. It is categorised as a Read tool in the MCP Azure DevOps Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_work_item_comments? +

Register the MCP Azure DevOps Server MCP server in PolicyLayer and add a rule for get_work_item_comments: 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 DevOps Server. Nothing to install.

What risk level is get_work_item_comments? +

get_work_item_comments is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_work_item_comments? +

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

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

get_work_item_comments is provided by the MCP Azure DevOps Server MCP server (vortiago/mcp-azure-devops). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Azure DevOps Server tool call.

Deterministic rules across all 21 MCP Azure DevOps Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

21 MCP Azure DevOps Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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