get_calendar
AI agents call get_calendar to retrieve information from MCP Apple Reminders without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'get_calendar' indicates a query/fetch operation to retrieve calendar data. Within the context of a Reminders management server, this is a non-destructive read operation that retrieves data without side effects. No modification, deletion, or execution of arbitrary operations is implied.
From the tool's definition Tool name 'get_calendar' and the server's 'read' capability for reminders suggest data retrieval. Description is empty, limiting confidence.
Attacks that exploit this kind of access
get_calendar. It is categorised as a Read tool in the MCP Apple Reminders MCP Server, which means it retrieves data without modifying state.
Register the MCP Apple Reminders MCP server in PolicyLayer and add a rule for get_calendar: 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 Apple Reminders. Nothing to install.
get_calendar 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 get_calendar 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 get_calendar. 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.
get_calendar is provided by the MCP Apple Reminders MCP server (rex/mcp-apple-reminders). 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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