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SardorbekR

App Store Connect MCP Server

by SardorbekR

get_price_point_equalizations

Retrieve Apple's equivalent price points in other territories for a given price point, showing Purchase Power Parity (PPP) data across countries.

Instructions

Get Apple's equivalent price points in other territories for a given price point. This is the core Purchase Power Parity (PPP) data — shows what Apple considers equivalent pricing across countries. Use list_app_price_points first to get a price point ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pricePointIdYesThe price point ID (from list_app_price_points)
territoriesNoFilter to specific territories (3-letter codes, e.g., ['IND', 'BRA', 'TUR'])
limitNoMaximum number of equalizations to return (1-200)
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. It explains the tool returns 'equivalent price points' and 'PPP data', implying a read operation. However, it lacks details on error handling, rate limits, or whether the data is static or dynamic. The behavioral disclosure is adequate but minimal.

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 consists of two concise sentences. The first states the function, and the second explains its significance (core PPP data) and a key usage hint. No unnecessary words are present.

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?

The tool has no output schema, so the description should outline return structure or example. It mentions 'equivalent price points' but does not describe the response format. For a retrieval tool, this is a notable gap. The description is somewhat complete given the simple purpose, but extra detail on output would improve it.

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 input schema has 100% description coverage for all parameters, so the schema already documents them well. The description does not add new meaning beyond mentioning the prerequisite for pricePointId. Baseline score of 3 is appropriate as the description adds little supplement.

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 the tool gets Apple's equivalent price points (PPP data) for a given price point, with a specific verb 'Get' and resource 'equivalent price points in other territories'. It distinguishes itself from siblings like list_app_price_points (which provides IDs) and set_app_prices (which sets prices).

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 explicitly advises to use list_app_price_points first to obtain a price point ID. This gives clear prerequisite guidance. However, it does not provide when-not-to-use scenarios or comparisons with other tools beyond the prerequisite, missing some explicit exclusion.

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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