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ilativity
by ilativity

Create release

create_release

Publish uploaded Android app version codes to a Play Console track, including staged rollouts, while preserving required releases. Production changes need confirm_production; otherwise it's a dry run.

Instructions

Creates a release of already-uploaded version codes on a track. Keeps the track's other releases that must stay (e.g. the completed release during a staged rollout). Production requires confirm_production: true, otherwise this is a dry run.

Input Schema

NameRequiredDescriptionDefault
trackYesTrack: internal, alpha, beta, production, or a custom/form-factor track (e.g. wear:production).
statusYesdraft = not live; inProgress = staged rollout (needs rollout_percentage); completed = 100%.
package_nameNoAndroid package name. Defaults to PLAY_MCP_PACKAGE.
release_nameNoRelease name shown in Play Console.
release_notesNoRelease notes per language (max 500 characters each).
validate_onlyNoDry run: validate the change in an edit, then discard it.
version_codesYesVersion codes to release.
confirm_productionNoMust be true to change a production track. Without it the call runs as a dry run and returns a preview.
rollout_percentageNoPercentage of users for a staged (inProgress) rollout, e.g. 10. Required for inProgress — there is no default.
changes_not_sent_for_reviewNoManaged publishing: commit without sending for review.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=true), so the bar is lower. The description adds real context beyond that: it discloses that other releases are retained during staged rollouts and that production calls silently degrade to a dry run without confirm_production.

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?

Three short sentences, no filler, and the two highest-risk facts (preservation of existing releases, production dry-run gate) are front-loaded. Nothing here is boilerplate.

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

Completeness4/5

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

For a 10-parameter mutation with no output schema, the description covers the main hazards: what is preserved, and the dry-run fallback for production. It stops short of explaining the dry-run preview return or interactions with the surrounding edit/commit flow, which would have made it fully self-sufficient.

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 schema already documents all 10 parameters including confirm_production, validate_only, and rollout_percentage. The description's mentions of confirm_production and staged-rollout retention restate or lightly extend schema content rather than adding new syntax or constraints, so baseline 3 applies.

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?

States a specific verb and resource ('Creates a release') and narrows the scope to 'already-uploaded version codes on a track', which cleanly separates it from upload_bundle/upload_internal_sharing. It also distinguishes itself from a plain track edit by noting that existing releases are preserved.

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?

Gives one concrete usage rule (production requires confirm_production: true, otherwise dry run), which is genuinely useful. However, it never routes the agent between this tool and close siblings such as promote_release, update_rollout, or deploy, so the when-to-use-vs-alternative question is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.