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jp_lit_search_kaken_projects

Search Japanese KAKEN research projects to find research themes, keywords, report PDFs, and output lists, helping locate relevant academic literature.

Instructions

external read / local bookkeeping write(非破壊)。KAKEN から研究課題を検索し、研究テーマ・キーワード・報告書 PDF・成果リストの手がかりを返す補助 tool。論文・図書の文献確定は CiNii / J-STAGE / IRDB / NDL で再確認する 外部sourceは変更しない。cache hitでもlocal session履歴を更新し、cache missまたはforce_refreshではlocal cacheを作成・置換する。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo検索結果ページ番号。1 始まり。
limitNo返す研究課題候補の最大件数。最大 20。
queryYesKAKEN から探す研究課題名・キーワード・研究テーマ。
session_idYes調査案件を識別する application state handle。jp_lit_start_session が返した値を渡す。形式は YYYY-MM-DD-HHMMSS-8桁hex(旧形式 YYYY-MM-DD-HHMMSS も可)。MCP transport の接続IDや cache_key とは別物。
detail_limitNo詳細ページを追加取得する候補数。0 なら詳細取得しない。最大 10。
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。
to_fiscal_yearNo研究期間の終了年度上限。
include_outputsNotrue の場合は成果リスト preview も取得する。文献確定は CiNii / J-STAGE / IRDB / NDL で再確認する。
researcher_nameNo研究代表者・研究分担者名で絞る場合に指定する。
from_fiscal_yearNo研究期間の開始年度下限。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
cacheNo
itemsYes
limitYes
queryYes
totalYes
Install Server

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations by characterizing the operation as 'external read / local bookkeeping write (non-destructive)' and explicitly confirming external sources are unchanged. It also discloses cache replacement and session-history updates, which align with and explain the readOnlyHint=false and idempotentHint=false annotations without contradiction.

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?

Each segment of the description contributes substantive scope or behavioral information, and the non-destructive external/local label is front-loaded. It is slightly dense and run-on in the middle, so it is not quite as clean as the highest benchmark.

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?

For a 10-parameter tool, the description, combined with 100% schema coverage and an output schema, is complete enough for correct invocation: it covers domain scope, side effects, cache semantics, external-source non-modification, and the follow-up verification caveat. No critical operating detail is missing.

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 baseline is 3. The description adds useful meaning beyond the schema: results are 'clues' rather than verified citations, cache hits still update session history, and cache miss/force_refresh replaces local cache, which clarifies session_id, force_refresh, and include_outputs behavior.

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?

States the exact verb and resource (search KAKEN research projects) and describes what it returns: research themes, keywords, report PDFs, and output-list leads. The 'supplementary tool' framing and KAKEN scope clearly separate it from general literature, guide, and illustration searches among siblings.

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 says final confirmation of papers and books must be re-checked via CiNii / J-STAGE / IRDB / NDL, which tells an agent when not to treat this tool's results as authoritative. It also states that external sources are not modified and local cache/session behavior varies by hit/miss, giving concrete operational 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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