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compare_over_time

Compare Japanese Diet minutes across multiple periods to track how discussion topics evolve, revealing new, continued, and resolved issues.

Instructions

同一テーマについて複数期間(2〜3期間)の国会議事録を比較し、議論の変化(論点の増減・新規・継続)を返します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo出力粒度: brief(主要変化2〜3件)/ 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(2〜3期間)
speakerNo特定発言者に絞る場合に指定
nameOfMeetingNo特定会議に絞る場合に指定(例: "予算委員会")
include_topicsNo論点比較を含めるか
max_items_per_periodNo各期間で取得する最大発言件数(既定: 20)
include_speaker_changesNo発言者傾向の比較を含めるか
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it 'returns changes' without explaining the output format, whether it is a summary or raw data, computational costs, or any limitations. The description adds minimal context beyond the schema.

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, focused sentence that front-loads the core purpose and output without any waste or redundancy. It is appropriately concise.

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?

This is a complex tool with 8 parameters and no output schema, requiring more context about how the comparison is structured and what the result looks like. The description merely states the high-level function without addressing output format, computational implications, or behavior details, making it insufficient for an agent to fully understand the tool's capabilities.

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?

Schema description coverage is 100%, with each parameter well-documented. The description does not add extra meaning to parameters beyond what the schema already provides, so the baseline of 3 is appropriate.

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 compares Diet minutes across 2-3 periods and returns changes in discussion topics (increase/decrease, new/continuing). It uses a specific verb and resource, but it does not differentiate from similar siblings like 'compare_by_party' or 'analyze_topic_changes,' which limits its distinctiveness.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as compare_by_party or analyze_topic_changes. It does not mention exclusions, prerequisites, or typical use cases, leaving the agent without context for tool selection.

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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