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Track App

sonar_track_app

WRITE tool — links the second-store version of an existing Sonar product (e.g. the product already tracks the iOS app and you want to add the Android version, or vice versa). Each product holds at most one iOS + one Android app; to start tracking a brand-new app, use sonar_create_product instead. Requires an Indie plan (trial counts) and an API key with the write scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeYesApp store. "ios" for Apple App Store, "android" for Google Play.
countryNoISO 3166-1 alpha-2 country code (e.g. "us"). Optional — defaults server-side.
store_idYesStore-specific app identifier of the version to link. iOS: numeric track ID. Android: package name.
product_idYesSonar product UUID (from sonar_create_product). NOT a store id.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations only provide readOnlyHint=false, idempotentHint=false, destructiveHint=false. The description explicitly labels itself as a 'WRITE tool,' and adds the constraint that each product holds at most one iOS + one Android app, which is a critical behavioral constraint. Since annotations lack this detail, the description adds substantial transparency. It could arguably score 5, but there is no mention of whether the operation is reversible or what happens on conflict, leaving a minor gap.

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?

The description is a single well-structured paragraph of three sentences, each serving a clear purpose: first sentence states the tool's action and contrast with create tool, second adds capacity constraint, third states prerequisites. No filler or repetition.

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

Completeness5/5

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

Given the tool has 4 parameters (100% schema coverage), no output schema, and moderate complexity (linking store versions with constraints), the description succinctly covers the overall purpose, usage boundaries, and prerequisites. There are no missing pieces that would prevent an agent from invoking the tool correctly.

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 4 parameters with detailed descriptions (store enum values, ISO country code format, store_id meaning, product_id NOT being a store id). The description does not add additional parameter-level meaning beyond what the schema provides. Baseline 3 is appropriate as the description doesn't detract but also doesn't enhance parameter understanding.

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 clearly states the tool links a second-store version to an existing Sonar product, which is a specific verb-resource combination. It explicitly differentiates this from sonar_create_product by explaining that this tool is for adding an additional store version to an existing product, not for starting a brand-new app.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use guidance ('links the second-store version'), when-not-to-use guidance ('to start tracking a brand-new app, use sonar_create_product instead'), and even specifies prerequisites ('Requires an Indie plan... and an API key with the write scope'). This fully clarifies when to pick this tool over siblings.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct action or data aspect within the ASO domain. Keyword-related tools are clearly separated by purpose (tracked keywords vs. research vs. suggestions vs. metrics), and competitive tools differentiate between reading landscape and generating new analysis. No two tools have overlapping functionality that would confuse an agent.

Naming Consistency3/5

Naming is a mix of verb-first (e.g., sonar_add_screenshot, sonar_create_product) and noun-first patterns (e.g., sonar_app_keywords, sonar_competitor_landscape). While all use snake_case and the 'sonar_' prefix is consistent, the lack of a uniform verb_noun structure makes it harder to predict tool names. The pattern is readable but inconsistent.

Tool Count2/5

With 47 tools, the server is over-scoped for a typical MCP server. Although the ASO domain is broad, many tools are granular (e.g., 10 screenshot tools, 10 keyword tools). This quantity exceeds the 25+ threshold for 'too many' as defined in the calibration, making it heavy for an agent to navigate comprehensively.

Completeness5/5

The tool surface covers the full ASO lifecycle: app discovery, keyword research, tracking and ranking, competitor analysis, revenue estimation, screenshot creation and export, alerts, and product management. There are no obvious gaps—every necessary operation for monitoring and optimizing app store presence is present, including both read and write actions.