Get the user\
AI agents call teams_get_favorites to retrieve information from Teams MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the user's favorite items from Microsoft Teams without modifying, deleting, or executing any actions. It has no side effects and poses minimal security risk—typical read operations only expose data the authenticated user already has access to. Low severity appropriate for information retrieval tools.
From the tool's definition Tool name 'teams_get_favorites' and verb 'Get' indicate a retrieval operation. Description states 'Get the user' (appears truncated but clearly a read operation).
Attacks that exploit this kind of access
Get the user\. It is categorised as a Read tool in the Teams MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Teams MCP Server MCP server in PolicyLayer and add a rule for teams_get_favorites: 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 Teams MCP Server. Nothing to install.
teams_get_favorites 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 teams_get_favorites 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 teams_get_favorites. 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.
teams_get_favorites is provided by the Teams MCP Server MCP server (m0nkmaster/msteams-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.
Teams ship this data inside their own products. See what a licence covers →