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get_in_app_product

Get details of a specific in-app product by providing the app package name and product SKU. Returns title, description, and pricing.

Instructions

Get details of a specific in-app product.

Args: package_name: App package name sku: Product SKU identifier

Returns: In-app product details including title, description, and pricing

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYes
skuYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, authorization requirements, or potential rate limits; it only states the return includes details but lacks depth.

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 a clear structure: a one-line summary followed by Args and Returns sections, making it easy to parse.

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?

Given the existence of an output schema, the description adequately covers return values, but it lacks context on when to use or prerequisites; for a simple get operation, it is minimally complete.

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 description adds brief explanations for both parameters ('App package name', 'Product SKU identifier') beyond the schema which has no descriptions, but lacks example values or constraints.

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 verb 'Get' and the resource 'specific in-app product', distinguishing it from sibling tools like 'list_in_app_products' which list all products.

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 but not explicitly stated; there is no guidance on when to use this tool versus alternatives like 'list_in_app_products' 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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