list_calendars
Retrieve a list of all calendars from your iCloud account to view available calendar names and IDs.
Instructions
List iCloud calendars
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a list of all calendars from your iCloud account to view available calendar names and IDs.
List iCloud calendars
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds no additional behavioral context (e.g., return format, pagination, or authentication), but it does not contradict the annotations. It is minimally adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with a single phrase, no wasted words, and front-loaded. It could be slightly more structured (e.g., noting return type), but it is not overly long.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, no output schema), the description is mostly complete. However, it does not describe what the output looks like (e.g., an array of calendar objects) or any caveats, which leaves some ambiguity for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, and schema coverage is 100% trivially. Following the guideline, a baseline of 4 is appropriate since there is nothing to document beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List iCloud calendars' clearly states the verb (list) and resource (iCloud calendars), making it unambiguous. It distinguishes the tool from sibling tools like list_events and get_event, which operate on events, not calendars.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives. While the purpose is clear from context, the dimension requires explicit when-to-use or when-not-to-use instructions, which are absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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