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Top charts

top_charts
Read-onlyIdempotent

Top free, paid or grossing chart for a store, country and category, with daily movement and new entries.

Input Schema

NameRequiredDescriptionDefault
limitNoRows (default 100, max 200).
storeYesStore. Google Play needs GOOGLE_PLAY_SOURCE on the deployment.
countryYesISO country code, e.g. US, GB, IN.
categoryNoCategory id from list_top_chart_categories (default overall).
languageNoLanguage code, e.g. en. Defaults to en.
collectionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds only that rows carry daily movement and new-entry flags. It says nothing about rate limits, freshness of the data, or whether the Google Play source prerequisite causes failure — that constraint lives only in the schema.

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?

A single front-loaded sentence with no filler, and the distinguishing qualifiers come first. It is a noun phrase rather than a verb-led statement, which slightly weakens the lead but costs no length.

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?

With six parameters, no output schema, and an openWorld hint, the description is thin. It never mentions the limit/pagination cap, the language option, or the deployment-level GOOGLE_PLAY_SOURCE requirement that can make a call fail, leaving an agent to discover those from the schema alone.

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 coverage is 83%, so the schema already documents every parameter including defaults and the collection enum. The description restates the collection options ('free, paid or grossing') but adds no syntax, format, or edge-case guidance beyond what the schema provides. 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?

The description names a specific resource (top chart) and the dimensions that define it — store, country, category, and collection — and states what comes back ('daily movement and new entries'). It is clearly distinct from siblings like list_top_chart_categories or get_category_rank, though it never names those alternatives 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 tool for pulling a ranked chart rather than a single app's rank. There is no explicit when-to-use, when-not-to-use, or pointer to list_top_chart_categories as the prerequisite for the category parameter.

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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