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slicequeue

K-MFDS FoodDB MCP Server

by slicequeue

searchFoodNutrition

searchFoodNutrition

Search the Korean Ministry of Food and Drug Safety database to find nutrition information for specific foods by name, maker, or category.

Instructions

식품의약품안전처 식품영양성분DB에서 식품 정보를 검색합니다. 식품명, 제조사, 카테고리 등을 기준으로 검색할 수 있습니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
foodNameKrNo검색할 식품명 (예: "사과", "김치")
makerNameNo제조사명 (예: "농심", "롯데")
foodCategory1NameNo식품 대분류명 (예: "곡류", "채소류", "육류")
itemReportNoNo품목제조보고번호
researchYearMonthDateNo데이터 생성일자 (YYYYMMDD 형식)
pageNoNo페이지 번호 (기본값: 1)
numOfRowsNo한 페이지 결과수 (기본값: 10, 최대: 100)
updateDateNo데이터 수정일자 (YYYYMMDD 형식)
dbClassNameNo품목대표/상용제품 구분
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It only states a read operation (search) but does not mention data freshness, rate limits, authentication needs, or any side effects, leaving significant gaps.

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 concise (two sentences), directly states the purpose, and lists example criteria without unnecessary words. It is well-structured for quick understanding.

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

Completeness2/5

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

With 9 parameters, no output schema, and a sibling tool, the description is insufficient. It does not explain how parameters interact, pagination behavior, or the structure of results, leaving the agent without essential context for correct usage.

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?

The input schema has 100% description coverage, so the parameters are fully documented. The description redundantly mentions a few parameters but adds no meaningful explanation beyond the schema. Baseline 3 is appropriate.

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?

The description clearly states the tool searches food information from a specific database and lists search criteria (food name, manufacturer, category). It is directive and informative, but does not differentiate from the sibling tool getNutritionComponentTypes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus the sibling tool or how to choose between search options. It lacks explicit context about its role in a workflow.

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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