AI agents call list_icloud-calendars to retrieve information from Icloud without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only lists/queries existing calendars without side effects. It performs a retrieval operation analogous to GET in REST APIs, making it a Read category tool. Severity is low because listing calendars reveals minimal sensitive information and has no operational impact.
From the tool's definition Tool name and description indicate it 'Returns a list of all iCloud calendars' — a read-only operation that retrieves calendar metadata without modifying or deleting data.
Attacks that exploit this kind of access
Returns a list of all iCloud calendars. It is categorised as a Read tool in the Icloud MCP Server, which means it retrieves data without modifying state.
Register the Icloud MCP server in PolicyLayer and add a rule for list_icloud-calendars: 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 Icloud. Nothing to install.
list_icloud-calendars 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 list_icloud-calendars 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 list_icloud-calendars. 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.
list_icloud-calendars is provided by the Icloud MCP server (thefredlab/icloud-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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