Agrega un comentario/entrada de discusión a un Work Item. Soporta formato Markdown y menciones. Para mencionar usuarios, primero usa ado_search_users para obtener el ID de identidad (UUID), luego inclúyelo en el campo mentions. En el texto del comentario, escribe @{displayName} donde quieras la m...
AI agents use ado_add_comment to create or update resources in Mcp Azure — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Azure environment.
Adding comments to work items is a Write operation—it creates new data that can be edited or deleted later, but does not irreversibly destroy data nor execute arbitrary code. The ability to mention users via @{displayName} is a standard collaboration feature without elevated risk.
From the tool's definition Tool description states "Agrega un comentario/entrada de discusión a un Work Item" (Adds a comment/discussion entry to a Work Item). This is a reversible modification operation that creates new content.
Attacks that exploit this kind of access
Agrega un comentario/entrada de discusión a un Work Item. Soporta formato Markdown y menciones. Para mencionar usuarios, primero usa ado_search_users para obtener el ID de identidad (UUID), luego inclúyelo en el campo mentions. En el texto del comentario, escribe @{displayName} donde quieras la mención. It is categorised as a Write tool in the Mcp Azure MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Azure MCP server in PolicyLayer and add a rule for ado_add_comment: 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_add_comment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the ado_add_comment 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_add_comment. 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_add_comment 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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