Get reminders from a specific list in Apple Reminders
AI agents call getReminders to retrieve information from Apple Reminders 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 and queries reminder data without modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security impact; misuse would only expose existing reminder data to the AI agent, not alter system state or trigger external actions.
From the tool's definition Tool description states 'Get reminders from a specific list' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get reminders from a specific list in Apple Reminders. It is categorised as a Read tool in the Apple Reminders MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Apple Reminders MCP Server MCP server in PolicyLayer and add a rule for getReminders: 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 Apple Reminders MCP Server. Nothing to install.
getReminders 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 getReminders 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 getReminders. 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.
getReminders is provided by the Apple Reminders MCP Server MCP server (leawn/apple_reminders_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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