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datagokr — 공공데이터포털 검색을 더 쉽게 (find data.go.kr datasets easily)

다운로드 방법 (How to download)

download_url
Read-onlyIdempotent

[공공데이터포털 검색 (datagokr)] 전체 데이터를 사용자 컴퓨터로 받는 방법을 알려줍니다. 서버가 파일을 대신 저장하진 않고 주소·요청값·절차를 돌려줍니다. Get client-side download instructions (URL, params, steps). The server never stores files. 반환: access_kind, url 또는 post_url/get_url, params, version_keys(파일 버전), message(절차), page_url. 예: '15028200 전체 JSON 받는 법', '15000001 원본 파일 다운로드 주소'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context: the server does not store files and only returns a URL, request values, and a procedure, plus an enumeration of what is returned (access_kind, url/post_url/get_url, params, version_keys, message, page_url).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is front-loaded and the '반환:' field list is useful, but the definition is bilingual with direct Korean/English duplication, so roughly half the text is redundant restatement. Every sentence would need trimming or consolidating to earn a 4-5.

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?

For a single-parameter, read-only tool with an output schema, the description is nearly complete: it covers purpose, the key non-storage behavior, and the return shape. The only meaningful omission is the semantics/format of dataset_id.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter, dataset_id, with 0% schema description coverage and no enum. The description never explains what dataset_id is or its expected format; only the examples ('15028200', '15000001') loosely imply it is a numeric dataset identifier. This is a clear gap for the single required input.

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?

States a specific verb and resource ('Get client-side download instructions (URL, params, steps)') and adds a valuable negative constraint ('The server never stores files'), which clarifies it is not a file-transfer tool. It does not name or differentiate from the siblings (fields, get_preview, record, search, show), so the routing value is slightly reduced.

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 context via examples ('15028200 전체 JSON 받는 법', '15000001 원본 파일 다운로드 주소'), which show the kind of question this answers. However, it never states when to prefer this over get_preview or search, nor any exclusions or prerequisites.

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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