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Look up a Korean road-name address

address_korea_lookup
Read-onlyIdempotent

Normalize a Korean address using the Korean government road-name address data: returns road-name address, lot-number (jibun) address, postal code, building name and the official English road-name address. Does not return coordinates. The keyword is sent to the government address service via WIA Address. (한국어: 도로명·지번·우편번호·공식 영문 표기를 조회합니다.)

Input Schema

NameRequiredDescriptionDefault
keywordYesKorean address keyword, e.g. '서울 강남구 테헤란로 152' or '강남파이낸스센터'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the description's contribution is the disclosure that the keyword is forwarded to an external government service (WIA Address) and the explicit statement that no coordinates are returned. It does not cover failure modes for ambiguous or unmatched keywords, but it adds meaningful context beyond the annotations.

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

Conciseness4/5

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

The return fields and the 'Does not return coordinates' caveat are front-loaded and every clause carries information. The Korean-language restatement duplicates the English content, which is mild redundancy but serves a non-English audience.

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?

With no output schema, the description usefully carries the burden of listing the returned fields (road-name, jibun, postal code, building name, English road-name), and the explicit no-coordinates note prevents a common mis-assumption. It omits what happens on ambiguous or zero-result lookups, which is the main remaining gap for a single-keyword lookup tool.

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% and the single 'keyword' parameter already has a description with Korean-address examples, so the baseline is 3. The description only notes that the keyword is forwarded to the government service, adding no format or syntax details beyond the schema.

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 ('Normalize a Korean address using the Korean government road-name address data') and enumerates exactly what it returns, which implicitly separates it from address_translate. It never names the sibling explicitly, so an agent must infer the boundary from the return fields.

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?

Usage is implied by the data source (Korean road-name address data) and the explicit exclusion 'Does not return coordinates', which tells the agent when not to pick this tool for geocoding. However, there is no explicit guidance on when to prefer this over address_translate, so the choice between the two siblings is left to inference.

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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