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analyze_topic_changes

Analyze how topics evolve in Japanese Diet minutes across 2-5 periods, identifying increases, decreases, continuations, and new issues with source citations.

Instructions

同一テーマについて複数期間(2〜5期間)の国会議事録を分析し、論点の増加・減少・継続・新規(change_type)を出典付きで返します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo出力粒度: brief(主要変化のみ)/ standard(標準)/ detailed(詳細・コスト高)standard
queryYes比較対象テーマ(例: "生成AI", "財政政策")
periodsYes比較する期間一覧(2〜5期間)
nameOfMeetingNo特定会議に絞る場合に指定
max_items_per_periodNo各期間で取得する最大発言件数(既定: 20)
include_emerging_topicsNo新規論点(new)を含めるか
Behavior3/5

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

With no annotations provided, the description carries the burden of disclosing behavioral traits. It mentions the output includes sources and change types, but does not explicitly state that the operation is read-only or describe any side effects, error behavior, or cost implications (though 'mode' parameter hints at cost in schema). It does not contradict annotations since none exist.

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?

The description is a single sentence that front-loads the core purpose, scope, and output, with no wasted words.

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?

The tool has no output schema and no annotations, yet the description only provides a high-level output summary (change types with sources). It does not specify the response structure, how mode affects granularity, or potential limitations, leaving some ambiguity for an agent.

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?

The schema covers 100% of parameters with descriptions, so the baseline is 3. The description adds no extra parameter-specific meaning beyond what the schema already provides; it refers to the 'periods' concept but not specifically to each parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes Diet minutes across multiple periods (2-5) and returns change types (increase, decrease, continuation, new) with sources. However, it does not explicitly differentiate from the sibling tool 'compare_over_time' which may also handle temporal comparisons.

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

Usage Guidelines3/5

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

The description implies usage for analyzing multi-period topic evolution but provides no explicit guidance on when to choose this tool over siblings like compare_over_time or summarize_meeting. No exclusions or alternatives are mentioned.

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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