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Google Play Console MCP

Validate Track

validate_track

Confirm that a specified track (internal, alpha, beta, production) is valid before using it in deployment operations.

Instructions

Validate track name before using it in deployment operations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trackYesTrack name to validate (internal, alpha, beta, production)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.8/5.0
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. It only says 'validate track name' without specifying that the operation is read-only, what constitutes a valid/invalid track, or what the return/error behavior is. This is too thin to be transparent.

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?

A single 12-word sentence that front-loads the action and resource, then adds only the necessary deployment context. Every word earns its place; there is no filler or redundancy.

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 one-parameter validation tool with an output schema, the description provides sufficient context on when to use it. It could have mentioned what the validation checks or how failures surface, but the output schema likely covers return behavior, making this a minor gap.

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%: the input schema already documents the only parameter, 'track', including the allowed values '(internal, alpha, beta, production)'. The description adds no parameter-specific meaning beyond restating the resource, so it stays at the baseline of 3.

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 uses the specific verb 'validate' on the resource 'track name' and adds the context 'before using it in deployment operations'. This clearly distinguishes it from mutating tools like create_track/update_track and from other validation tools like validate_edit or validate_package_name.

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 explicitly states the temporal trigger ('before using it in deployment operations'), telling an agent when to invoke this tool. It doesn't list alternatives or exclusion conditions, but the context is clear enough for the intended use.

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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