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jp_lit_annotate_session

Annotate search results from Japanese literature databases by saving candidate labels and notes to a session, enabling selection without modifying the original data.

Instructions

現在の調査セッション内で、既存の検索・書誌取得結果に候補ラベルと短いメモを保存する。未選別結果そのものは変更せず、選別判断だけを追加する

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
cache_keyYes
selected_itemsYes
notesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
updated_atYes
annotated_countYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses non-destructive behavior (does not change unselected results), but lacks details on authentication, session requirements, or error handling.

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 a single concise sentence that gets to the point without unnecessary words.

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?

Given the tool has 4 parameters including nested objects and an output schema, the description is minimal and omits important context such as session existence and how to obtain cache_key.

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?

With 0% schema description coverage, the description partially compensates by explaining the purpose of labels and notes, but does not detail 'tool' or 'cache_key' parameters.

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 verb ('save') and resource ('candidate labels and short notes to existing search/bibliographic retrieval results'), and distinguishes from siblings by emphasizing it does not modify underlying results.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context ('within the current investigation session' and on 'existing search/bibliographic retrieval results'), but does not explicitly provide when-not-to-use or alternatives.

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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