AI agents call query_work_items 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.
The tool name and context clearly indicate this is a read-only query operation that retrieves work item data from Azure DevOps. No side effects, modifications, or destructive actions are implied. The server description explicitly lists querying work items as a capability distinct from create/update operations (which are listed separately).
From the tool's definition Tool name 'query_work_items' and server description stating 'enabling AI assistants to interact with Azure DevOps services, allowing users to query work items' indicates a querying/retrieval operation.
Documented attack patterns abuse exactly the kind of access query_work_items 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 query_work_items:
{
"version": "1",
"default": "deny",
"tools": {
"query_work_items": {}
}
}query_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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query_work_items. It is categorised as a Read tool in the MCP Azure DevOps Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Azure DevOps Server MCP server in PolicyLayer and add a rule for query_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 MCP Azure DevOps Server. Nothing to install.
query_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 query_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 query_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.
query_work_items 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.
Deterministic rules across all 21 MCP Azure DevOps Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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21 MCP Azure DevOps Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.