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Get featured store sections

get_featured
Read-only

Retrieve Steam's featured store sections — specials, top sellers, new releases, and coming soon — in a single API call for an overview of the store front page.

Instructions

Get the Steam store's featured sections: specials, top sellers, new releases and coming soon (each a list of games with appid and price), all in one call — for a general 'what's on the store front page' overview. For just current discounts use get_specials (lighter), or discover_games for catalog-wide deals with filters. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoCountry (cc) for prices/currency; overrides STEAM_COUNTRY for this call.
languageNoStore language (e.g. english, russian); overrides STEAM_LANGUAGE for this call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
specialsYes
coming_soonYes
top_sellersYes
new_releasesYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description adds value by detailing the specific sections returned and the single-call nature. No contradictions, and it provides context beyond the 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?

Two sentences, front-loaded with purpose, then alternatives and access info. Every sentence adds value with no waste.

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's complexity (multiple sections) and the presence of an output schema (not shown), the description is complete. It covers what sections are returned and the general use case, making it fully informative for an agent.

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?

Input schema has 100% description coverage for both parameters (country, language). Description does not add further explanation beyond the schema, so baseline 3 is appropriate.

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?

Description clearly states it gets featured sections (specials, top sellers, new releases, coming soon) with appid and price, specifying it's for a general store front page overview. It distinguishes from siblings get_specials (lighter, discounts) and discover_games (catalog-wide deals).

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?

Explicitly states when to use (general overview) and when not (use get_specials for discounts, discover_games for catalog deals). Also notes no API key required, providing clear guidance.

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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