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kutleloove

google-cloud-console-mcp

by kutleloove

Get testers for a track

play_get_testers

Retrieve the emails and Google Groups configured as testers for a Google Play track, helping you verify or reuse the audience before rollout.

Instructions

Fetches the tester list (individual emails, and/or Google Groups) configured for a testing track.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trackYesTrack name, e.g. "internal", "alpha", "beta", or a custom testing track
editIdYesEdit id returned by play_create_edit
packageNameYesPlay Console package name, e.g. "com.example.app"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
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 behavioral burden. It implies a read ('Fetches'), but does not state whether it requires an active edit session, whether it is idempotent, or what happens when the track has no testers. For a tool with zero annotation coverage, this is thin.

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?

A single efficient sentence with the core resource and returned entity types front-loaded. No filler, though it is brief enough that the structure barely matters.

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?

With no annotations, no output schema, and three required parameters, the description does not explain the edit-session dependency, the return shape, or empty-result behavior. It is incomplete for correct invocation in context.

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 track, editId, and packageName including an example track name. The description adds no parameter-level detail beyond the schema, so the baseline 3 applies.

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 ('Fetches') and resource ('tester list configured for a testing track'), and clarifies the returned content (individual emails, and/or Google Groups). It does not explicitly name the sibling play_get_testers vs play_list_* alternatives, but the resource is unambiguous.

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?

There is no when-to-use guidance, no mention of prerequisites (a valid editId from play_create_edit), and no routing to alternatives like play_update_testers. The agent is left to infer usage entirely.

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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