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yonghwan1106

K-LifeGuard MCP Server

by yonghwan1106

약국 검색

lifeguard_find_pharmacy
Read-onlyIdempotent

Find nearby pharmacies by current location, with filters for night or holiday operating hours.

Instructions

주변 약국을 검색합니다.

야간 운영 약국, 휴일 운영 약국을 필터링할 수 있습니다.

Args:

  • latitude (number, required): 현재 위치 위도

  • longitude (number, required): 현재 위치 경도

  • filter (string, optional): 필터 옵션 (기본값: "all")

    • "all": 전체 약국

    • "night": 야간 운영 약국 (22시 이후 영업)

    • "holiday": 휴일 운영 약국 (일요일/공휴일)

  • radius_km (number, optional): 검색 반경 km (기본값: 3)

  • limit (number, optional): 최대 결과 수 (기본값: 10)

  • response_format (string, optional): 출력 형식 (기본값: "markdown")

Returns:

  • 약국 목록 (이름, 주소, 연락처, 거리, 운영시간)

Examples:

  • "집 근처 약국 찾기" → latitude, longitude 입력

  • "야간 영업하는 약국" → filter: "night"

  • "일요일에 여는 약국" → filter: "holiday"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo최대 결과 수 (기본값: 10)
filterNo필터 옵션: all(전체), night(야간 22시 이후 운영), holiday(휴일 운영)all
latitudeYes현재 위치 위도
longitudeYes현재 위치 경도
radius_kmNo검색 반경 km (기본값: 3)
response_formatNo출력 형식: 'markdown'은 사람이 읽기 쉬운 형식, 'json'은 프로그래밍 처리용markdown
Behavior4/5

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

Annotations already provide readOnlyHint, openWorldHint, etc. Description adds behavioral details such as default filter and radius, return format options, and the nature of results (list of pharmacies with fields). This is valuable beyond 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?

Description is well-structured with clear sections for args and examples, front-loading the main purpose. It is moderately concise and each sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description specifies the return structure (list of pharmacies with name, address, phone, distance, hours). Examples cover typical use cases. For a search tool with 6 parameters, this is complete.

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 description coverage is 100%, so baseline is 3. Description adds natural language explanations, default values, and examples for parameters like filter and response_format, improving understanding beyond the schema.

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 states '주변 약국을 검색합니다.' which is a specific verb and resource. It clearly distinguishes from sibling tools like lifeguard_get_status and lifeguard_search_emergency by focusing on pharmacies.

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?

Description provides context for when to use (finding nearby pharmacies with optional filters) and includes examples. However, it does not explicitly exclude other tools or compare to 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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