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jp_lit_update_session_trace

Update the research session trace with goal, scope, source selection reasons, open questions, and next actions to document investigation progress and decisions.

Instructions

write: session trace。現在の調査セッション全体に、調査目的・確認範囲・source 選択理由・未確認事項・次アクションを追記または更新する。検索結果や選択候補そのものではなく、調査経過と判断の台帳を残すための tool。候補単位の採否メモは jp_lit_annotate_session を使う

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scope_noteNo調査範囲、除外範囲、確認済み範囲の説明。
next_actionsNo次に取るべき調査アクション。
source_plansNosource ごとの利用予定・利用済み・保留・除外理由。
research_goalNo現在の調査セッション全体の目的。
open_questionsNo未解決の確認事項。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
updated_atYes
next_action_countYes
source_plan_countYes
open_question_countYes
Behavior4/5

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

Annotations are all false, but the description states it appends or updates the session trace, clarifying that it writes to the session without being destructive. No contradiction with annotations, though it could specify whether updates are partial or full overwrite.

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?

Three sentences; first sentence states action and components, second and third clarify scope and provide alternative. No wasted words, front-loaded with key information.

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 an output schema exists and sibling tools cover session management, the description is complete for usage. It doesn't explicitly mention requiring an active session, but the name and context imply it.

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 baseline 3. The description adds context by listing the categories that map to parameters (research_goal, source_plans, etc.), providing semantic grouping beyond individual parameter descriptions.

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 updates the session trace with research purpose, scope, source reasons, open questions, and next actions. It distinguishes from sibling jp_lit_annotate_session by explicitly stating that tool is for candidate-level notes.

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 states when to use (for keeping a ledger of progress and decisions) and when not (for search results or candidate selection), and provides the alternative jp_lit_annotate_session for candidate-level notes.

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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