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Batch Deploy

batch_deploy

Deploy an Android app to multiple Google Play tracks in one operation, such as internal and alpha simultaneously, or promote across testing tracks.

Instructions

Deploy an app to multiple tracks in a single operation.

This is useful for deploying to internal and alpha tracks simultaneously, or for promoting to multiple testing tracks at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracksYesList of tracks to deploy to (e.g., ["internal", "alpha"])
file_pathYesAbsolute path to APK or AAB file
package_nameYesApp package name
release_notesNoOptional release notes for all tracks
rollout_percentagesNoOptional dict mapping track names to rollout percentages

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, so the description carries the full burden of disclosure. It only says 'deploy' with no mention of side effects (e.g., overwriting existing releases), permissions required, failure behavior, or whether the operation is atomic. This is insufficient for a mutation tool that could affect production tracks.

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 exactly two sentences, front-loaded with the core purpose and then a brief usage hint. There is zero redundancy or filler, making it highly efficient.

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 batch deployment tool with no annotations, the description omits critical operational details like whether the operation is atomic, what happens if one track fails, prerequisites (e.g., whether the APK must be uploaded first), and how output is structured. While the output schema exists and covers return values, the lack of behavioral context makes the description only minimally complete for an action that could have significant consequences.

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 coverage is 100%, so the baseline is 3. The description adds a small amount of context for the 'tracks' parameter by giving concrete examples (internal, alpha), but it does not clarify the optional parameters (release_notes, rollout_percentages) or their relationships. This adds marginal value 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 the tool deploys an app to multiple tracks in a single operation, specifying the exact resource and action. It also distinguishes itself from sibling tools like deploy_app (single track) and promote_release by emphasizing the batch capability across multiple tracks.

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

Usage Guidelines4/5

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

It provides concrete use cases (internal and alpha tracks simultaneously, promoting to multiple testing tracks), which implies appropriate scenarios. However, it does not explicitly state when not to use it or mention alternatives like deploy_app for single-track deployments, leaving some room for ambiguity.

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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