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Get prices for many games

get_prices
Read-only

Check current prices and discounts for up to 250 Steam games by appid in one call. Efficient for scanning a wishlist for deals without API key.

Instructions

Get current price and discount for a batch of games by appid in one call — efficient for checking a whole list (e.g. a wishlist) for deals. Handles up to 250 appids; if you also need review %, hardware compatibility or tags, use get_items instead (max 50 appids). Rows come back in the same order as the given appids, one per id (unavailable ones marked available:false, never dropped). Each row has the final/initial price and discount_percent (or is_free). No API key required. Get appids from search_games or get_wishlist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appidsYesSteam appids to price (1-250). Split a longer list across calls.
countryNoCountry (cc) for prices/currency; overrides STEAM_COUNTRY for this call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
pricesYes
Install Server

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds valuable behavioral details: rows preserve input order, unavailable appids are marked available:false and never dropped, and each row includes final/initial price and discount_percent (or is_free). It also notes no API key is required, which is non-obvious.

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 dense paragraph, but every sentence adds critical information: purpose, batch capacity, alternatives, output ordering and availability handling, and API key requirements. It is front-loaded with purpose and perfectly sized for a tool with this complexity.

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?

With an output schema present, the description still goes beyond it by explaining row ordering, unavailable handling, and the exact fields returned. It also covers rate limits (250 appids), usage alternatives, and authentication requirement (none). This is complete for a batch price-lookup tool.

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 coverage is 100%, so the explanation carries little burden. Still, the description adds extra context by suggesting where to get appids (search_games or get_wishlist) and implicitly explains the purpose of the batch. This is more than the schema provides, though not substantial.

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 opens with 'Get current price and discount for a batch of games by appid in one call', which is a specific verb-resource combination. It clearly distinguishes itself from siblings by contrasting with get_items for additional data like reviews or tags.

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?

Provides explicit when-to-use (checking a wishlist for deals), a hard limit (250 appids), and names an alternative (get_items for review %, hardware compatibility, tags). It also directs users on how to obtain appids via search_games or get_wishlist, fully covering usage context.

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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