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bitpackman

tokyo-opendata-mcp

by bitpackman

データセットの詳細を取得

get_dataset

Retrieve dataset metadata including provider, maintainer, update frequency, and resources from a dataset ID. Get a warning if the catalog update date may be misleading for freshness.

Instructions

データセットIDから、提供元・メンテナー・更新頻度・リソース一覧を取得します。カタログの更新日は一括移行日である場合があるため、鮮度を誤認しないよう警告を付けて返します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYesデータセットID(例: t000003d0000000093)
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that catalog update date may be a batch migration date, returning a warning to prevent misjudgment of freshness.

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?

Two sentences, front-loaded with purpose, then behavioral warning. No wasted words.

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 single parameter, no output schema, and no annotations, description covers what it returns and a key behavioral nuance. Could mention it is a read operation, but implied.

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 coverage is 100% for the only parameter (dataset_id). Description adds an example but no new semantics beyond the schema description.

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?

Description clearly states verb (取得) and resource (dataset details: provider, maintainer, update frequency, resource list). Distinguishes from siblings 'search_datasets' and 'list_dataset_resources' by showing it provides full details for a specific ID.

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?

Implicitly indicates when to use: with a dataset ID to retrieve details. Sibling names provide context, but no explicit when-not or alternative conditions.

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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