AI agents call mail_get_inbox_count to retrieve information from Mcp Mac without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and returns the unread message count from the user's inbox. It performs no side effects, creates no modifications, executes no code, deletes nothing, and involves no financial transactions. It is a simple data retrieval operation, making it a Read category tool with low severity.
From the tool's definition Tool name 'mail_get_inbox_count' and description 'Get unread message count in inbox' indicate a query operation that retrieves a count metric without modifying any data.
Attacks that exploit this kind of access
Get unread message count in inbox. It is categorised as a Read tool in the Mcp Mac MCP Server, which means it retrieves data without modifying state.
Register the Mcp Mac MCP server in PolicyLayer and add a rule for mail_get_inbox_count: 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 Mac. Nothing to install.
mail_get_inbox_count 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 mail_get_inbox_count 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 mail_get_inbox_count. 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.
mail_get_inbox_count is provided by the Mcp Mac MCP server (samicokar/mcp-mac). 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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