AI agents call emailfolders_get_tree to retrieve information from M365 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to fetch or list email folder hierarchies without modifying data. Even if it returns sensitive folder information, it is a retrieval operation with no side effects. Without explicit description stating write/delete/execute capability, the conservative read classification applies.
From the tool's definition Tool name 'emailfolders_get_tree' indicates retrieving folder structure hierarchy. No description provided, but naming convention and context (email management in M365) suggest data retrieval operation.
Attacks that exploit this kind of access
emailfolders_get_tree. It is categorised as a Read tool in the M365 MCP Server, which means it retrieves data without modifying state.
Register the M365 MCP server in PolicyLayer and add a rule for emailfolders_get_tree: 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 M365. Nothing to install.
emailfolders_get_tree 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 emailfolders_get_tree 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 emailfolders_get_tree. 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.
emailfolders_get_tree is provided by the M365 MCP server (robin-collins/m365-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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