List all connected calendars across providers. Returns calendar IDs, names, labels, and metadata. Call this first to discover what calendars are available before using other calendar tools.
AI agents call list_calendars to retrieve information from Temporal Cortex Calendar MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
format | string | null | — | Output format: "toon" (default) or "json". |
provider | string | null | — | Filter to a specific provider ("google", "outlook", "caldav"). Omit for all providers. |
Parameters from the server's own tool schema.
Even though list_calendars only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
List all connected calendars across providers. Returns calendar IDs, names, labels, and metadata. Call this first to discover what calendars are available before using other calendar tools. It is categorised as a Read tool in the Temporal Cortex Calendar MCP MCP Server, which means it retrieves data without modifying state.
list_calendars accepts 2 parameters: format, provider. The full parameter table on this page comes from the server's own tool schema.
Register the Temporal Cortex Calendar MCP server in PolicyLayer and add a rule for list_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 Temporal Cortex Calendar MCP. Nothing to install.
list_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_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_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_calendars is provided by the Temporal Cortex Calendar MCP server (temporal-cortex/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.