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iDevice Wearables

Release calendar

get_release_calendar
Read-only

Products not yet on sale, in date order: a release date, an announcement event, or a window shown as written (for example Fall 2026), each with who stated it (Announced by the company, Company event, Reported date, Reported window, iDevice estimate) and how many pre-release reports it has. Defaults to the next 120 days; optional from and to (YYYY-MM-DD, at most one year), category (watches, earbuds, glasses, phones, rings) and company narrow it. Products with no dated or sourced window are counted, not listed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoLast day, YYYY-MM-DD. Default 120 days after from; at most 366 days.
fromNoFirst day, YYYY-MM-DD. Default today.
companyNoA company or brand word, e.g. 'apple', 'samsung', 'meta'
categoryNoA category word, e.g. 'watches', 'earbuds', 'glasses', 'phones', 'rings'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With readOnlyHint and openWorldHint already given, the description still adds real behavioral context: the taxonomy of date sources (Announced by the company, Company event, Reported date, Reported window, iDevice estimate), the one-year maximum window, and the non-obvious rule that products with no dated or sourced window are counted rather than listed. That last rule materially affects how an agent interprets a short result set.

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

Conciseness4/5

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

Two dense sentences, front-loaded with what is returned before the filtering and edge-case rules. The parenthetical source list is long but carries information an agent needs to interpret results; nothing reads as filler.

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

Completeness4/5

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

There is no output schema and only minimal annotations, so the description correctly carries the burden of explaining return contents and edge behavior, which it does well. The remaining gap is sibling differentiation against get_release_history, which would make selection unambiguous in a twelve-tool namespace.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds genuine meaning: it restates the default window (120 days) and its relationship to from/to, reinforces the one-year ceiling, and enumerates the category vocabulary inline. This is more than a restatement of the schema text.

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

Purpose4/5

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

The description states a precise verb-and-resource: products not yet on sale, ordered by date, with the source of each date and a pre-release report count. It is unambiguous what the tool returns, but it never distinguishes itself from the obvious sibling get_release_history (past vs. future releases), so an agent must infer the boundary.

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

Usage Guidelines3/5

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

Usage is implied through scope statements — 'Defaults to the next 120 days' and optional from/to/category/company narrow it — which tells the agent when the tool applies but not when to prefer it. No alternative (e.g. get_release_history) is named, and no exclusion is stated for already-released products.

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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