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Add application

add_application

Track an app by bundle id (Apple) or package name (Google Play). Discovery then auto-tracks keywords and competitors when auto_track is on.

Input Schema

NameRequiredDescriptionDefault
storeYesStore. Google Play needs GOOGLE_PLAY_SOURCE on the deployment.
countryYesISO country code, e.g. US, GB, IN.
languageNoLanguage code, e.g. en. Defaults to en.
platformNoApple platform: ios (iPhone & iPad, default) or macos (the Mac App Store). apple_app_store only.
bundle_idYesBundle id or package name.
auto_trackNoDiscover and track keywords and competitors automatically (default true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare this is a non-read-only, non-idempotent, open-world write. The description adds real side-effect disclosure beyond that: adding an app triggers discovery and auto-tracks keywords and competitors when auto_track is on. It stops short of describing duplicate/re-add behavior, which matters given idempotentHint=false.

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?

Two short sentences, front-loaded with the core action and followed by the side effect. The second sentence is slightly compressed ('Discovery then auto-tracks...'), but no sentence is wasted.

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?

There is no output schema, and the description does not say what is returned (app record, id, discovery results) or what happens when the app is already tracked. For a six-parameter mutation with non-idempotent semantics, these are meaningful gaps, though the rich schema and annotations cover most of the rest.

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%, with enums and defaults documented for store, platform, language and auto_track. The description only restates bundle_id/package name and the auto_track effect, adding little 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?

States a concrete verb and resource ('Track an app by bundle id... or package name'), and clarifies the identifier differs by store. It is distinguishable from siblings like add_competitor and list_applications, though it never names an alternative explicitly.

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?

Usage is only implied: an agent can infer this is the entry point for registering a new app before keywords/competitors can be tracked. There is no explicit 'use this when...' guidance, no mention of checking list_applications first, and no note about prerequisites such as GOOGLE_PLAY_SOURCE beyond what the schema says.

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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