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jp_lit_resolve_authority

Resolve Japanese personal, corporate, and subject authority entries from NDL Authorities. Confirms aliases and search hints to expand or refine queries in literature research.

Instructions

read-only。Web NDL Authorities で人名・団体名・件名などの典拠候補を確認し、別名義や安全な検索ヒントを返す。文献検索 source ではなく検索語展開・名義確認の補助 tool。分類記号から件名候補を探す場合は jp_lit_find_authority_terms_by_classification、実際の文献検索は jp_lit_search を使う

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes確認したい人名・団体名・件名・統一タイトルなどの典拠検索語。
typeNo探す典拠種別。all は人名・団体名・件名などを横断する。all
limitNo返す典拠候補の最大件数。最大 20。
force_refreshNotrue の場合はローカル cache を使わず upstream API から再取得する。false の場合は保存済み cache を優先する。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
typeYes
totalYes
limitYes
itemsYes
search_hintsYes
cacheNo
Behavior4/5

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

The description starts with 'read-only', explicitly indicating safety. It explains the tool's auxiliary role and what it returns. However, given no annotations, it could elaborate on error handling or response format, but the presence of an output schema reduces the burden.

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?

The description is well-structured, front-loading the key 'read-only' attribute and purpose, with clear sibling references. It is concise but slightly long; however, it earns its length by providing valuable differentiation.

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?

Given high schema coverage and existence of output schema, the description provides sufficient context: purpose, role as auxiliary tool, and sibling differentiation. It is complete for an agent to decide when to invoke.

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 schema already documents all parameters. The description adds no new parameter-level detail beyond what the schema provides, thus 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?

The description clearly states the tool confirms authority candidates (people, organizations, subjects) via Web NDL Authorities, returning alternative names and safe search hints. It explicitly distinguishes itself from siblings by directing to jp_lit_find_authority_terms_by_classification for classification codes and jp_lit_search for actual document search.

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?

The description provides explicit when-to-use guidance: for confirming authority names and alternatives. It also gives clear when-not-to-use guidance, directing to jp_lit_find_authority_terms_by_classification and jp_lit_search for other tasks.

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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