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lusky3
by lusky3

batch_get_purchase_option_offers

Fetch details for multiple one-time product offers in one batch request. Use this to query purchase option offers efficiently.

Instructions

Get details for multiple one-time product offers at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestsYesList of GetOneTimeProductOfferRequest bodies
product_idYesParent one-time product ID ('-' wildcard allowed)
package_nameYesApp package name
purchase_option_idYesParent purchase option ID ('-' wildcard allowed)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

There are no annotations, so the description carries the full burden. The description only states the basic function (get details) without disclosing whether this is a read-only operation (implied but not stated), whether it requires special permissions, what happens if some requests fail (partial success vs all-or-nothing), or any rate limits. The description is too sparse to provide meaningful behavioral transparency.

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 a single concise sentence that effectively states the tool's purpose without redundancy. It is well-structured and avoids unnecessary details, making it easy to scan.

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

Completeness2/5

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

The tool lacks essential contextual information. It does not mention authentication requirements, whether it is read-only (no annotation), or the nature of the response. It also doesn't note any limitations such as maximum number of requests, which is common for batch APIs. Without annotations, the description should cover these aspects but does not.

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 descriptions cover all 4 parameters (100% coverage), so the schema itself provides clear parameter semantics. The description adds context that this is a batch operation, but it doesn't clarify the relationship between the 'requests' array and the parent identifiers (product_id, package_name, purchase_option_id). The description's mention of 'multiple' is helpful but doesn't specify how the parameters interact.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get details') and resource ('multiple one-time product offers at once'), which distinguishes it from singular getter tools like get_in_app_product. However, it does not explicitly differentiate from similar batch tools such as batch_get_one_time_products or listing tools like list_purchase_option_offers, though the focus on 'offers' and 'batch' gives reasonable clarity.

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 phrase 'at once' implies this is for fetching multiple offers in a single call, which provides some usage context. However, the description does not explicitly state when to prefer this over alternatives like list_purchase_option_offers or batch_get_one_time_products, nor does it mention any constraints (e.g., max batch size) or exclusions. Usage guidance is minimal and largely implied.

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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