Skip to main content
Glama

Search Rakuten Books (Video Games)

books_game_search
Read-onlyIdempotent

Search Rakuten Books for video games by title, platform, or JAN. Returns details including hardware, price, and reviews.

Instructions

Search Rakuten Books for video games by title, platform/hardware (e.g., 'Nintendo Switch', 'PlayStation 5'), or JAN. Returns title details with hardware, label, JAN, list price, and review stats.

[JA] 楽天ブックスでビデオゲームを、タイトル・ハード(例: 'Nintendo Switch', 'PlayStation 5')・JANで検索します。ハード、レーベル、JAN、定価、レビューを含む詳細を返します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoGame title. ゲームタイトル。
hardwareNoPlatform/hardware (e.g., 'Nintendo Switch'). ハードウェア(例: 'Nintendo Switch')。
janNoJAN code. JAN。
keywordNoFree-text keyword. キーワード。
hitsNoNumber of results per page (1–30, default 10). 1ページあたりの取得件数(1〜30、デフォルト10)。
pageNoPage number (1+, default 1). ページ番号(1以上、デフォルト1)。
sortNoSort order. 並び順。standard
booksGenreIdNoRestrict to a specific Books genre (3-character IDs, hierarchical). Use books_genre_search to discover. ジャンルIDで絞り込み(books_genre_search で取得)。
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint; description adds return details but no new behavioral context beyond what annotations provide. No contradiction.

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 (English + Japanese) are concise, front-loaded with purpose, and contain no filler.

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?

No output schema, but description adequately lists return fields. With 8 parameters and good schema, the description plus schema provide sufficient context for typical use.

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 100% and description summarizes main parameters (title, hardware, JAN), but does not extend meaning for all 8 parameters beyond the schema.

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 it searches for video games by title, platform, or JAN, and lists returned fields. This differentiates it from sibling tools like books_book_search or books_cd_search.

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?

No explicit guidance on when to use this tool over siblings; the name implies video games, but no when-not or alternative recommendations are given.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mrslbt/rakuten-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server