Elimina un Work Item en Azure DevOps. Por defecto realiza borrado lógico; usa destroy=true solo para eliminación permanente.
AI agents call ado_delete_work_item to permanently remove resources in Mcp Azure — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes work items from Azure DevOps. Even though logical deletion (soft delete) is the default, the tool explicitly supports permanent destruction via the 'destroy=true' parameter, making data loss possible and irreversible. This represents a destructive action with significant blast radius in a project management context where work item history and traceability are critical.
From the tool's definition Tool name 'ado_delete_work_item' combined with description stating 'Elimina un Work Item' (deletes a work item) with explicit support for 'destroy=true' for 'eliminación permanente' (permanent deletion). This is an irreversible deletion operation.
Attacks that exploit this kind of access
Elimina un Work Item en Azure DevOps. Por defecto realiza borrado lógico; usa destroy=true solo para eliminación permanente. It is categorised as a Destructive tool in the Mcp Azure MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Mcp Azure MCP server in PolicyLayer and add a rule for ado_delete_work_item: 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. Nothing to install.
ado_delete_work_item is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the ado_delete_work_item 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 ado_delete_work_item. 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.
ado_delete_work_item is provided by the Mcp Azure MCP server (soulberto/mcp-azure). 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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