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bitpackman

tokyo-opendata-mcp

by bitpackman

東京都オープンデータを検索

search_datasets

Search Tokyo's open data catalog by automatically expanding queries to include synonyms and variations, returning relevant datasets from over 9,600 entries.

Instructions

東京都オープンデータカタログ(9,642データセット)を検索します。カタログの検索は同義語も表記ゆれも吸収しない(「避難」では937件中96件しかヒットしない)ため、このツールは複数の表記に自動展開して検索し、結果を統合します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo返す最大件数
queryYes検索したい内容。日常語でよい(例: 避難所, トイレ, こども)
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that the tool automatically expands queries to multiple notations and integrates results, which is a key behavioral trait beyond a simple search. It does not mention return format or pagination.

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, immediate rationale in second sentence. No filler or redundant 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?

Considering no output schema, the description covers input semantics and behavioral traits well. Lacks details on result format or pagination, but adequate for a search tool with simple parameters.

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%. The description adds value for the query parameter by explaining that everyday language is acceptable and gives examples, which supplements the schema's description. For limit, the schema already provides sufficient detail.

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 the Tokyo Open Data Catalog (9,642 datasets) and distinguishes from sibling tools like get_dataset and list_dataset_resources by emphasizing its search capability with synonym expansion.

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?

The description explains that the native catalog search does not handle synonyms, so this tool is specifically useful for broader searches. It implicitly guides when to use this tool, though it doesn't explicitly mention alternatives.

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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