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jaydenk

Fantastical MCP

by jaydenk

get_today_json

Retrieve today's calendar events as structured JSON, including times, calendars, and attendee counts. Use with dashboards and automations.

Instructions

Machine-readable variant of get_today.

Returns today's events as a structured dict so programmatic clients (dashboards, automations) don't have to parse the pretty-printed text output. Event times are ISO-8601 strings in the event's original timezone.

Response shape::

{
  "now": ISO-8601 string (current local time),
  "timezone": IANA name (e.g. "Australia/Adelaide"),
  "events": [{id, title, calendar, start, end, all_day,
              location, recurring, attendees_count}, ...]
}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description takes full burden. It details the response shape, time format (ISO-8601), timezone, and fields. It doesn't mention read-only nature explicitly but it's implied. Overall, good transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with three short paragraphs, front-loaded with purpose, and uses a code block for the response shape. Every sentence serves a purpose without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters and an output schema, the description is complete: it explains the relationship to get_today, the machine-readable nature, the response format with details on time representation. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, so the input schema is empty. The description adds no parameter information, but baseline for 0 params is 4. It does describe the output which is not required due to output schema presence, but still adds value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a machine-readable variant of get_today, returning a structured dict of today's events for programmatic clients. It distinguishes from sibling 'get_today' which is presumably text output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states it's for 'programmatic clients (dashboards, automations)', implying when to use. However, it does not explicitly state when not to use or list alternatives, but the context is clear enough.

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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