AI agents call list_work_items to retrieve information from Azure DevOps MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves work item data from Azure DevOps projects without creating, modifying, or deleting any resources. It is a read-only operation that poses minimal risk if misused by an AI agent, as the worst outcome would be unauthorized information disclosure rather than system damage or data loss.
From the tool's definition Tool name 'list_work_items' and description 'List work items in a project' indicate retrieval of data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_work_items gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Azure DevOps MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_work_items:
{
"version": "1",
"default": "deny",
"tools": {
"list_work_items": {}
}
}list_work_items is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List work items in a project. It is categorised as a Read tool in the Azure DevOps MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure DevOps MCP Server MCP server in PolicyLayer and add a rule for list_work_items: 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 MCP Server. Nothing to install.
list_work_items is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_work_items 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.
Set action: deny in the PolicyLayer policy for list_work_items. 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.
list_work_items is provided by the Azure DevOps MCP Server MCP server (tiberriver256/mcp-server-azure-devops). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 42 Azure DevOps MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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42 Azure DevOps MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.