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chronica_search

Search saved entries by text, tags, or type to retrieve memories across conversations.

Instructions

保存されたエントリを検索します。本文・タグ・種別を含むエントリ一覧を返します。

【記憶の閲覧・一覧(save と対になる操作)】

  • 「記憶を見せて」「保存したものを一覧」「Chronicaに何が入ってる?」「最近の記録」では、 フィルタなしで呼び出す(引数は空オブジェクト {} または limit のみ)。 全スレッド横断で、保存日時の新しい順に最大100件が返る。

  • chronica_list_threads はスレッド名・件数・ID のみ。本文は含まれない。 本文を一覧・紹介するには必ず本ツール(search)を使う。特定スレッドだけなら thread_id を指定。

【使用タイミング】

  • ユーザーが「最近の〜を振り返りたい」と言ったとき

  • 特定のタグやトピックの記録を探すとき

【能動的な記憶参照】

  • ユーザーの発言に既存の記憶と関連しそうなテーマが出てきたら、 会話を止めずに裏側でsearchを呼ぶこと。

  • 関連記憶が見つかった場合、「Chronicaによると〜」等のメタ発言は不要。 その記憶を自然に会話に織り込む。

  • 例:ユーザーが仕事の悩みを話す → 過去の関連決定事項を検索 → 「以前〇〇と決めていましたよね」と自然につなげる。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thread_idNoスレッドID(指定時はthread_typeより優先)
thread_typeNoスレッドタイプ
kindNoエントリ種別
tagsNoタグリスト(いずれか一致)
projectNoプロジェクト名
limitNo最大件数(省略時100)。一覧表示時も指定可。
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It discloses default limit (100), sorting (newest first), and that calling with empty object or limit only gets recent entries. However, it does not mention error conditions, required permissions, or behavior when no results are found.

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 with sections and uses bullet points for key scenarios. However, it is somewhat verbose, especially the proactive usage section which could be more concise. Still, every sentence contributes to clarity.

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

Completeness3/5

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

No output schema exists, so the description should explain return value structure. It mentions returned fields (body, tags, type) but not their format or any pagination info. Otherwise, it covers usage scenarios and behavior adequately.

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%, and description adds context: explains that thread_id overrides thread_type, that limit defaults to 100, and that for unfiltered listing the argument can be empty object or just limit. This adds meaning beyond the schema definitions.

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 searches saved entries and returns a list including body, tags, and type. It distinguishes itself from chronica_list_threads by noting that list_threads only returns thread names, counts, and IDs, while this tool returns full entry details.

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 explicitly provides when to use (e.g., when user wants to look back at recent entries, search by tag/topic) and when not to use (for thread name/ID only, use list_threads). It also gives proactive usage guidance for background searches without metadiscourse.

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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