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list_voided_purchases

Retrieve a list of voided purchases including refunds and chargebacks for your app. Identify the reason and timing of each voided transaction.

Instructions

List voided purchases (refunds, chargebacks).

Args: package_name: App package name max_results: Maximum number of results (default: 100)

Returns: List of voided purchases with reason and timing

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It states the return format (list with reason and timing) which is helpful. However, it doesn't mention ordering, pagination beyond max_results, or potential side effects, but as a read operation this is acceptable.

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 with two sentences and structured args/returns. Every part adds value, no wasted words. It is front-loaded with the core purpose.

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?

Given the tool's simplicity (2 parameters, output schema exists), the description is complete. It explains what it does, its parameters, and what it returns. No additional context is needed.

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

Parameters5/5

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

Schema description coverage is 0%, so the description fully compensates by explaining both parameters: 'package_name: App package name' and 'max_results: Maximum number of results (default: 100)'. This adds necessary 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 'List voided purchases (refunds, chargebacks)', specifying the verb and resource with clarification on the type of voided purchases. This distinguishes it from sibling tools like list_in_app_products or get_order.

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

Usage Guidelines5/5

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

The description implicitly provides usage guidance by focusing on voided purchases, making it clear when to use: when needing refunds or chargebacks. No sibling tool covers this specific use case, and the description is sufficient for an agent to select 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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