Get all work items in a specific iteration
AI agents call get_iteration_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 items filtered by iteration, which is a read-only operation with no side effects. It does not create, modify, delete, execute code, or trigger financial transactions. The blast radius of misuse is minimal—an AI could only over-query or access unauthorized iterations, but cannot alter data or cause irreversible damage.
From the tool's definition Tool name 'get_iteration_work_items' and description 'Get all work items in a specific iteration' indicate a retrieval operation with no modification or execution of external operations.
Attacks that exploit this kind of access
Get all work items in a specific iteration. 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 get_iteration_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.
get_iteration_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 get_iteration_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 get_iteration_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.
get_iteration_work_items is provided by the Azure DevOps MCP Server MCP server (jaybird-us/azure-devops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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