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Google Play Console MCP

Batch Get Subscriptions

batch_get_subscriptions

Retrieve details for multiple subscription products in one call. Provide the app's package name and a list of product IDs to get their current data.

Instructions

Get details for multiple subscription products at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idsYesList of subscription product IDs to retrieve
package_nameYesApp package name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only restates the action. It does not mention read-only guarantees, maximum batch size, behavior for invalid or missing product IDs, partial-failure semantics, or whether details are returned in the same order as requested. The output schema mitigates return-format gaps, but no operational behavior is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence with zero filler, and the core action is front-loaded. It is appropriately lean given that the schema fully documents parameters and an output schema exists, though it arguably leaves useful context on the table given the dense sibling environment.

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?

For a simple 2-parameter batch getter, the schema covers inputs and the output schema documents returns, so the description is minimally viable. However, the absence of annotations and the lack of any mention of batch-size constraints or how this differs from list_subscriptions leaves an agent to infer operational boundaries, creating a noticeable gap for a read tool in a large sibling family.

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?

Schema description coverage is 100%, so both parameters (package_name, product_ids) are already documented in the schema. The description's phrase 'multiple... at once' loosely echoes the array nature of product_ids but adds no meaning beyond the schema, warranting the baseline score of 3.

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 states a specific verb ('Get'), resource ('subscription products'), and scope ('multiple... at once'), which clearly marks the batch nature and distinguishes it from the single-item get_subscription. However, it does not differentiate it from list_subscriptions, which also returns multiple subscriptions, so the purpose is clear but the sibling differentiation is incomplete.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus list_subscriptions, get_subscription, or the other batch_get_* tools. In a sibling set of 170+ tools with several overlapping subscription-reading operations, the agent receives zero direction on selection criteria, batch limits, or exclusions.

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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