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get_articles

Retrieve a filtered and paginated list of articles from the Alog blog platform. Supports filters for AI or human content, tag, sort order, and page size.

Instructions

記事一覧を取得。フィルタ・ページネーション対応

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoフィルタ (all=全て, ai=AI記事のみ, human=人間記事のみ)
tagNoタグで絞り込み
sortNoソート順
pageNoページ番号
per_pageNo1ページあたりの件数(デフォルト: 20)
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, authentication requirements, rate limits, or side effects. For a list operation, basic safety info is missing.

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 extremely concise with two clauses, no wasted words, and front-loads the core purpose.

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

Completeness2/5

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

The description lacks information about return format, authentication context, or additional behavioral details. Even with good schema coverage, the absence of an output schema and behavioral context makes it incomplete 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?

Schema description coverage is 100%, so the description adds little beyond the schema. The description only mentions filtering and pagination, which aligns with the parameters but does not provide additional semantics.

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 clearly states the verb 'get' and resource 'article list' (記事一覧), and mentions filtering and pagination support. It implicitly distinguishes from sibling tools like 'get_article' (singular) and 'create_article', but does not explicitly contrast with '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?

The description implies usage when listing articles with filtering/pagination, but provides no explicit when-to-use or when-not-to-use guidance, nor alternatives to consider.

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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