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Google Play Console MCP

Patch Subscription Offer

patch_subscription_offer

Partially update a subscription offer's properties by providing only the fields to change.

Instructions

Partially update an existing subscription offer.

Disabled in read-only mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offerYesPartial SubscriptionOffer resource body with fields to change
offer_idYesSubscription offer ID
product_idYesParent subscription product ID
update_maskYesComma-separated list of fields to update
base_plan_idYesParent base plan ID
package_nameYesApp package name
regions_versionNoVersion of available regions for regional prices (default: "2022/02")2022/02

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

B3.1/5.0
Behavior3/5

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. It does disclose that the operation is a partial update and that it is disabled in read-only mode, which is useful. However, it does not mention side effects, idempotency, authorization requirements, or behavior when update_mask omits fields, leaving significant behavioral gaps.

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 very concise, with no filler or redundant phrasing, and the core action is front-loaded in the first sentence. It could have used the space more fully, but as written it is efficiently structured.

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?

Given the tool has 6 required parameters, a nested object, an update_mask, and no annotations, the description is too thin to be contextually complete. It does not explain the field-mask semantics, prerequisites, or how this operation relates to other subscription-offer lifecycle tools, even though an output schema exists to handle return values.

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 the input schema already documents all parameters thoroughly. The description adds no parameter-specific meaning, which is acceptable under the baseline for full schema coverage, but it neither reinforces nor enhances the schema's guidance.

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 a specific verb ('Partially update') and a specific resource ('existing subscription offer'), which distinguishes it from create, delete, activate, and deactivate sibling tools. However, it does not explicitly differentiate itself from the singular update or batch update variants, so it stops short of full sibling differentiation.

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?

The description gives no guidance on when to use this tool versus alternatives such as create_subscription_offer, delete_subscription_offer, or batch_update_subscription_offers. 'Disabled in read-only mode' is a constraint, not usage guidance, so the agent is left to infer the appropriate selection context.

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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