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Glama
TheValkDokk

appstore-data

Top charts

top_charts
Read-only

Retrieve ranked app chart lists for iOS and Android by storefront, category, and collection to compare popular apps across markets.

Instructions

Ranked top-chart lists per storefront. iOS collections: topfreeapplications, toppaidapplications, topgrossingapplications, newapplications (+ ipad variants). Android: topselling_free, topselling_paid, topgrossing, new_free, new_paid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows to return, 1-50. Defaults to 25.
storeNoStore to query: "ios" (Apple App Store) or "android" (Google Play).ios
countryNoISO-2 storefront code, e.g. us, gb, de, jp. Defaults to us.us
categoryNoOptional category id, e.g. '6018' (iOS Books) or 'GAME' (Android).
collectionNoChart name. Defaults to topfreeapplications (iOS) / topselling_free (Android).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.5/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that results are ranked and storefront-scoped, but it does not disclose pagination, rate limits, return ordering details, or other behavioral constraints beyond what the annotations provide.

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 tight sentences with no filler. The core purpose is front-loaded, and the second sentence provides the useful collection enumeration without redundant explanation.

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

Completeness4/5

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

For a simple read-only rankings query with fully documented parameters and safety annotations, the description is largely complete. The main remaining gap is that there is no output schema and the description does not describe the returned row structure, though 'ranked top-chart lists' gives the agent enough to understand the result domain.

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?

Schema description coverage is 100%, so the baseline is 3. The description earns an upward adjustment by enumerating valid collection names per store, which adds meaningful semantics beyond the schema's generic 'Chart name' description.

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 resource and scope: ranked top-chart lists per storefront, with concrete iOS and Android collection names. It is clearly not a search, category-list, app-detail, or review tool, but it does not explicitly contrast itself with those sibling tools.

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?

The description tells what chart collections exist, but it does not say when to use this tool versus search_apps, get_app, list_categories, or get_app_reviews. There is no explicit when/when-not guidance or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.