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List the apps the user tracks

list_my_apps
Read-onlyIdempotent

Returns every tracked app with its store id, store, platforms, categories and whether it is one of the user's own apps or a competitor they watch. Call this first: every other tool identifies an app by the appStoreId returned here.

Example question: "Which apps am I tracking?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
appsYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to restate those. It adds valuable context about the return fields and the prerequisite role of this tool, enhancing the agent's understanding beyond the structured annotations.

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 two concise sentences plus an example question. The first sentence delivers the core function, the second provides a clear usage directive, and the example clarifies the intent. No redundancy or unnecessary detail.

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?

For a 0-parameter list tool with an output schema, the description fully covers what the tool returns and when to use it. The presence of an output schema means return-value details are already documented, so the description is complete for the agent to select and invoke the tool correctly.

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

Parameters4/5

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

This tool has zero parameters, making schema coverage trivially 100%. The description does not need to explain parameters, but it does highlight the appStoreId as the key linking value for other tools, adding conceptual meaning to the tool's role in the workflow.

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 returns every tracked app with specific fields (store id, store, platforms, categories, ownership status). This distinguishes it from sibling tools like get_app_history or get_chart_top that operate on specific apps. The verb 'Returns' is precise and action-oriented.

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?

The description explicitly instructs to 'Call this first' and explains that other tools identify apps by the appStoreId returned here, providing clear when-to-use guidance. However, it does not explicitly mention when not to use it or name alternative tools, so it falls slightly short of a perfect score.

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

A4.3/5.0
Disambiguation4/5

Tools are mostly distinct, but get_app_country_ranks and get_app_history both expose per-app rank time series, and get_daily_report overlaps with get_apps_overview in portfolio summary. Descriptions clarify differences, but an agent could still misselect without careful reading.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, using either 'get' or 'list' as verbs. No mixed conventions or inconsistent verb styles.

Tool Count5/5

9 tools is well-scoped for an app store ranking analytics server, covering portfolio, chart, app-level, competitor, and reference data without feeling bloated or thin.

Completeness4/5

The tool surface covers the core analysis workflows: portfolio overview, per-app rank history and geography, chart exploration, competitor discovery, and daily digest. Minor gaps include no tool to manage tracked apps (add/remove) and no quota status check, but these are peripheral to the ranking analysis purpose.

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