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add app

add_app

List an Android app that is in Google Play closed testing. The closed track must be published with the opt-in link enabled. (needs a token)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
group_urlNoGoogle Group link if the track uses a group
descriptionNo
instructionsNoWhat testers should try
package_nameYesAndroid package name, e.g. com.example.app

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already establish a non-read-only, closed-world operation; the description adds useful context by stating the app must be in Google Play closed testing and that a token is required. It says nothing about what is created, whether re-adding is idempotent, or what a failure looks like, so the gain over annotations is modest.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, no filler, and the key precondition is front-loaded. However, the lead sentence misstates the operation, which wastes the most prominent position rather than earning it.

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?

For a 5-parameter write tool with no output schema and no annotations covering behavior, the description covers only a precondition and a token note. Parameter meaning and post-call behavior are absent, so an agent cannot call this confidently without reading the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Five parameters with two required, and the description never references any of them. With schema coverage at 60%, name, group_url and package_name are documented in the schema but description, instructions and the overall role of `name` are not, and the description does nothing to close that gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

"List an Android app that is in Google Play closed testing" names the resource and the state the app must be in, so the gist is recoverable, but the verb "List" does not match the tool name add_app or the write-oriented annotation, leaving the actual action (enroll/register the app) ambiguous.

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?

It supplies a real precondition — the closed track must be published with the opt-in link enabled — plus an auth note, which is implied usage guidance. It never contrasts this tool with siblings such as list_open_tests or start_campaign, so selection between them 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.

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