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JavaScript
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appstore_similar

Retrieve the 'You Might Also Like' apps shown on an App Store product page using either a numeric track ID or bundle ID, returning related app suggestions.

Instructions

Retrieve "You Might Also Like" apps. Returns the related apps shown on the App Store product page. Provide either id (numeric track ID) or app_id (bundle ID).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoApp Store numeric track ID (digits only)
langNoResult language tag
app_idNoApp Store bundle ID
countryNoTwo-letter storefront country code

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.6.0
  2. Removedv1.6.0
  3. First observedv1.0.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the output is 'related apps shown on the App Store product page', but it does not specify the structure of the returned data (e.g., full app details or just IDs), and it omits any mention of rate limits, authentication, or other behavioral traits.

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 extremely concise at two sentences, front-loading the key action and expected output. Every word contributes value, with no redundancy or filler.

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

Completeness3/5

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

Despite low complexity (4 parameters, no output schema), the description fails to specify the format or structure of the returned 'related apps'. It does not explain how language and country parameters affect results, and it assumes the agent knows what 'You Might Also Like' implies. The lack of output schema increases the need for description completeness, which is only partially met.

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?

The schema already provides descriptions for all four parameters (100% coverage). The description adds a note that either 'id' or 'app_id' should be provided, but this is implied by the schema having none required. The description does not add significant meaning 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?

The description clearly states it retrieves 'You Might Also Like' apps from the App Store product page. The verb 'retrieve' and specific phrase 'You Might Also Like' precisely define the tool's function, and it is easily distinguishable from sibling tools like appstore_search or appstore_app.

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?

The description provides a basic instruction to provide either 'id' or 'app_id', but it does not offer guidance on when to use this tool versus alternatives like appstore_search or appstore_app. There is no mention of prerequisites, typical use cases, or when not to use it.

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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