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Get app details

get_app
Read-onlyIdempotent

Use this when someone asks about one of their AppSkyline apps, such as which stores it is on or which languages it supports. Returns the app's name, default and supported locales, App Store, Mac App Store, Google Play and Microsoft Store ids, and creation and edit times. Not for the live public store page or ratings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesAppSkyline app id (uuid)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
appYesNull when the app is not in the signed-in account
statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / appId / description
      Previous value: -"App id (uuid)"New value: +"AppSkyline app id (uuid)"
    • addedOutput schema / properties / app / description
      Added value: +"Null when the app is not in the signed-in account"
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false and openWorldHint=false, so safety is covered. The description adds value by scoping what data is exposed (locales, per-store ids, timestamps) and by explicitly ruling out live store pages and ratings, which prevents misuse. It says nothing about auth scope or error behavior for an invalid appId.

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?

Three sentences, front-loaded with the use case, then the return payload, then the negative boundary. No filler and nothing buried.

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?

For a one-parameter read-only getter with a full output schema and rich annotations, the description supplies everything needed: when to call it, what it returns, and what it is not for. Return-value documentation is correctly left to the output schema.

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

Parameters3/5

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

Schema coverage is 100% and the single appId parameter is fully documented as a UUID in the schema, so the baseline applies. The description's phrase 'one of their AppSkyline apps' lightly reinforces that appId must be a user-owned app id, but adds no format or constraint detail beyond the schema.

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?

States a specific verb+resource ('get app details' for a single AppSkyline app) and enumerates exactly what it returns: name, locales, per-store ids, and creation/edit times. That enumeration cleanly separates it from list_apps (plural) and from the store-listing/metadata siblings.

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?

Gives a concrete triggering situation ('someone asks about one of their AppSkyline apps, such as which stores it is on or which languages it supports') and an explicit exclusion ('Not for the live public store page or ratings'). It stops short of naming the sibling tools (get_store_listing, get_store_metadata) that should be used instead, leaving a small inference gap.

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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