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NSLC7779

korea-health-mcp-server

by NSLC7779

특정 병원의 비급여 목록

kohealth_get_hospital_nonpayment

Find non-covered medical items and prices at a specific hospital by name, with optional region filtering to improve accuracy. Uses HIRA data.

Instructions

병원명으로 해당 의료기관이 운영하는 비급여 항목·가격을 조회합니다(기관별 목록). ykiho 서버 필터가 없어 병원명+지역으로 좁혀 매칭합니다. 출처: 건강보험심사평가원 비급여진료비정보.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNo출력 형식. text=사람용 요약, json=원본 항목 배열text
pageNoNo페이지 번호 (1부터)
regionNo지역명 또는 sidoCd 코드. 지정하면 검색 범위를 좁혀 정확도가 올라감
numOfRowsNo페이지당 항목 수 (최대 100)
hospitalNameYes병원명 (부분일치). 서버 미지원이라 가져온 결과 내에서 필터됨
Behavior4/5

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

With no annotations, the description carries the full behavioral disclosure burden. It transparently reveals a key limitation: no server-side ykiho filter, so matching is done client-side by narrowing with hospital name and region. This is meaningful behavioral context beyond the schema, though it could also mention pagination behavior.

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 two concise sentences, front-loaded with the primary purpose in the first sentence and supplementary limitation/source in the second. Every word earns its place with no redundancy or filler.

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 5-parameter lookup tool with no output schema, the description provides adequate context: hospital-specific scope, matching limitation, and data source. The format parameter in the schema covers return value semantics. It stops short of a 5 because pagination behavior and potential edge cases like multiple hospitals with the same name aren't addressed.

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%, so all five parameters are already documented. The description reinforces the region parameter's role in narrowing results but adds little new meaning beyond what the schema already states. Baseline 3 is appropriate when the schema does the heavy lifting.

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 retrieves non-payment items and prices for a specific medical institution by hospital name (기관별 목록). This is a specific verb+resource that distinguishes it from sibling tools like kohealth_search_nonpayment, which likely performs broader searches.

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 provides practical guidance by noting that there is no ykiho server filter, so users should combine hospital name with region to narrow matching. This implies when to use region and improves search accuracy, though it doesn't explicitly contrast with alternative sibling tools.

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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