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독립유공자 공훈록 MCP 서버

by shinkeonkim

get_merit_list

Retrieve lists of Korean independence activists' merit records by filtering with criteria like name, birth date, award year, or achievement details.

Instructions

독립유공자 공훈록 목록을 조회합니다

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_indexNo페이지 번호
count_per_pageNo페이지 당 데이터 건수 (최대 50건)
mng_noNo관리번호
name_koNo성명(한글)
name_chNo성명(한자)
diff_nameNo이명
birthdayNo생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))
lastdayNo사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))
sexNo성별 (0: 여, 1: 남)
register_large_divNo본적대분류
register_mid_divNo본적중분류
judge_yearNo포상년도
hunkukNo훈격
workout_affilNo운동계열
achivementNo공훈록

Implementation Reference

  • MCP tool handler dispatch for get_merit_list: parses arguments, calls fetch_merit_list API wrapper, formats response as JSON text.
    if name == "get_merit_list":
        # 공훈록 목록 조회
        if not isinstance(arguments, dict):
            arguments = {}
        
        data = await fetch_merit_list(
            page_index=arguments.get("page_index", 1),
            count_per_page=min(arguments.get("count_per_page", 10), 50),
            response_type="JSON",
            mng_no=arguments.get("mng_no"),
            name_ko=arguments.get("name_ko"),
            name_ch=arguments.get("name_ch"),
            diff_name=arguments.get("diff_name"),
            birthday=arguments.get("birthday"),
            lastday=arguments.get("lastday"),
            sex=arguments.get("sex"),
            register_large_div=arguments.get("register_large_div"),
            register_mid_div=arguments.get("register_mid_div"),
            judge_year=arguments.get("judge_year"),
            hunkuk=arguments.get("hunkuk"),
            workout_affil=arguments.get("workout_affil"),
            achivement=arguments.get("achivement")
        )
        
        result_json = format_response(data)
        logger.debug(f"공훈록 목록 조회 결과: {result_json}")
        
        return [
            TextContent(
                type="text",
                text=result_json
            )
        ]
  • Core handler function that fetches merit list data from external API, implements caching, query param building, response parsing (JSON/XML), and error handling.
    async def fetch_merit_list(
        page_index: int = 1,
        count_per_page: int = 10,
        response_type: str = "JSON",
        mng_no: Optional[str] = None,
        name_ko: Optional[str] = None,
        name_ch: Optional[str] = None,
        diff_name: Optional[str] = None,
        birthday: Optional[str] = None,
        lastday: Optional[str] = None,
        sex: Optional[str] = None,
        register_large_div: Optional[str] = None,
        register_mid_div: Optional[str] = None,
        judge_year: Optional[str] = None,
        hunkuk: Optional[str] = None,
        workout_affil: Optional[str] = None,
        achivement: Optional[str] = None
    ) -> Dict[str, Any]:
        """
        독립유공자 공훈록 목록을 조회합니다.
        
        Args:
            page_index: 페이지 번호
            count_per_page: 페이지 당 데이터 건수 (최대 50건)
            response_type: 응답 형식 (JSON/XML)
            mng_no: 관리번호
            name_ko: 성명(한글)
            name_ch: 성명(한자)
            diff_name: 이명
            birthday: 생년월일
            lastday: 사망년월일
            sex: 성별
            register_large_div: 본적대분류
            register_mid_div: 본적중분류
            judge_year: 포상년도
            hunkuk: 훈격
            workout_affil: 운동계열
            achivement: 공훈록
            
        Returns:
            공훈록 목록 정보를 담은 딕셔너리
            
        Raises:
            RuntimeError: API 호출 중 오류가 발생한 경우
        """
        # 캐시 키 생성
        cache_params = [
            f"page_{page_index}",
            f"count_{count_per_page}"
        ]
        
        if mng_no:
            cache_params.append(f"mng_{mng_no}")
        if name_ko:
            cache_params.append(f"name_ko_{name_ko}")
        if name_ch:
            cache_params.append(f"name_ch_{name_ch}")
        if diff_name:
            cache_params.append(f"diff_{diff_name}")
        if birthday:
            cache_params.append(f"birth_{birthday}")
        if lastday:
            cache_params.append(f"last_{lastday}")
        if sex:
            cache_params.append(f"sex_{sex}")
        if register_large_div:
            cache_params.append(f"reg_l_{register_large_div}")
        if register_mid_div:
            cache_params.append(f"reg_m_{register_mid_div}")
        if judge_year:
            cache_params.append(f"year_{judge_year}")
        if hunkuk:
            cache_params.append(f"hunkuk_{hunkuk}")
        if workout_affil:
            cache_params.append(f"workout_{workout_affil}")
        if achivement:
            cache_params.append(f"achi_{achivement}")
        
        cache_key = f"merit_list_{'_'.join(cache_params)}"
        
        # 캐시 확인
        cached_data = cache_manager.get(cache_key)
        if cached_data:
            return cached_data
    
        # API 요청 파라미터 구성
        params = build_query_params(
            nPageIndex=page_index,
            nCountPerPage=count_per_page,
            type=response_type,
            mngNo=mng_no,
            nameKo=name_ko,
            nameCh=name_ch,
            diffName=diff_name,
            birthday=birthday,
            lastday=lastday,
            sex=sex,
            registerLargeDiv=register_large_div,
            registerMidDiv=register_mid_div,
            judgeYear=judge_year,
            hunkuk=hunkuk,
            workoutAffil=workout_affil,
            achivement=achivement
        )
        
        # API 요청
        endpoint = f"{BASE_URL}/contribuMeritList.do"
        logger.info(f"공훈록 목록 요청: {endpoint}, 파라미터: {params}")
        
        try:
            async with httpx.AsyncClient(timeout=30.0) as client:
                response = await client.get(endpoint, params=params)
                response.raise_for_status()
                
                # 응답 형식에 따라 처리
                if response_type.upper() == "JSON":
                    result = response.json()
                else:  # XML
                    # XML 응답 파싱
                    result = parse_xml_response(response.text)
                
                if "error" not in result:
                    # 캐시 저장
                    cache_manager.set(cache_key, result)
                
                return result
        except httpx.TimeoutException:
            logger.error("API 요청 시간 초과")
            raise RuntimeError("API 요청 시간이 초과되었습니다. 잠시 후 다시 시도해주세요.")
        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP 상태 오류: {e.response.status_code} - {str(e)}")
            raise RuntimeError(f"HTTP 상태 오류: {e.response.status_code}. 요청을 처리할 수 없습니다.")
        except httpx.HTTPError as e:
            logger.error(f"HTTP 요청 오류: {str(e)}")
            raise RuntimeError(f"HTTP 요청 오류: {str(e)}")
        except Exception as e:
            logger.error(f"공훈록 목록 조회 중 오류 발생: {str(e)}")
            raise RuntimeError(f"공훈록 목록 조회 중 오류 발생: {str(e)}")
  • Input schema defining parameters for get_merit_list tool, including pagination, search filters like name, dates, codes, with types, descriptions, defaults, enums.
    inputSchema={
        "type": "object",
        "properties": {
            "page_index": {
                "type": "integer",
                "description": "페이지 번호",
                "default": 1
            },
            "count_per_page": {
                "type": "integer",
                "description": "페이지 당 데이터 건수 (최대 50건)",
                "default": 10,
                "maximum": 50
            },
            "mng_no": {
                "type": "string",
                "description": "관리번호"
            },
            "name_ko": {
                "type": "string",
                "description": "성명(한글)"
            },
            "name_ch": {
                "type": "string",
                "description": "성명(한자)"
            },
            "diff_name": {
                "type": "string",
                "description": "이명"
            },
            "birthday": {
                "type": "string",
                "description": "생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
            },
            "lastday": {
                "type": "string",
                "description": "사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
            },
            "sex": {
                "type": "string",
                "description": "성별 (0: 여, 1: 남)",
                "enum": ["0", "1"]
            },
            "register_large_div": {
                "type": "string",
                "description": "본적대분류"
            },
            "register_mid_div": {
                "type": "string",
                "description": "본적중분류"
            },
            "judge_year": {
                "type": "string",
                "description": "포상년도"
            },
            "hunkuk": {
                "type": "string",
                "description": "훈격",
                "enum": list(HUNKUK_CODES.keys())
            },
            "workout_affil": {
                "type": "string",
                "description": "운동계열",
                "enum": list(WORKOUT_AFFIL_CODES.keys())
            },
            "achivement": {
                "type": "string",
                "description": "공훈록"
            }
        }
    }
  • Registers the get_merit_list tool in the MCP list_tools() function with name, description, and full input schema.
    Tool(
        name="get_merit_list",
        description="독립유공자 공훈록 목록을 조회합니다",
        inputSchema={
            "type": "object",
            "properties": {
                "page_index": {
                    "type": "integer",
                    "description": "페이지 번호",
                    "default": 1
                },
                "count_per_page": {
                    "type": "integer",
                    "description": "페이지 당 데이터 건수 (최대 50건)",
                    "default": 10,
                    "maximum": 50
                },
                "mng_no": {
                    "type": "string",
                    "description": "관리번호"
                },
                "name_ko": {
                    "type": "string",
                    "description": "성명(한글)"
                },
                "name_ch": {
                    "type": "string",
                    "description": "성명(한자)"
                },
                "diff_name": {
                    "type": "string",
                    "description": "이명"
                },
                "birthday": {
                    "type": "string",
                    "description": "생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
                },
                "lastday": {
                    "type": "string",
                    "description": "사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
                },
                "sex": {
                    "type": "string",
                    "description": "성별 (0: 여, 1: 남)",
                    "enum": ["0", "1"]
                },
                "register_large_div": {
                    "type": "string",
                    "description": "본적대분류"
                },
                "register_mid_div": {
                    "type": "string",
                    "description": "본적중분류"
                },
                "judge_year": {
                    "type": "string",
                    "description": "포상년도"
                },
                "hunkuk": {
                    "type": "string",
                    "description": "훈격",
                    "enum": list(HUNKUK_CODES.keys())
                },
                "workout_affil": {
                    "type": "string",
                    "description": "운동계열",
                    "enum": list(WORKOUT_AFFIL_CODES.keys())
                },
                "achivement": {
                    "type": "string",
                    "description": "공훈록"
                }
            }
        }
    ),
  • Imports the fetch_merit_list helper function from api module used in tool execution.
    from .api import fetch_merit_list, fetch_public_report
    from .cache import cache_manager
    from .utils import format_response, create_error_response
    
    @app.list_tools()
    async def list_tools() -> List[Tool]:
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but provides minimal information. It doesn't mention that this is a read-only operation (implied by 'get' but not explicit), doesn't discuss pagination behavior beyond what's in the schema, doesn't mention rate limits, authentication requirements, or what happens when no filters are applied. For a tool with 15 parameters and no annotations, this is insufficient behavioral context.

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 a single, efficient sentence in Korean that directly states the tool's purpose. There's no wasted language or unnecessary elaboration. It's appropriately sized for a data retrieval tool and gets straight to the point without preamble.

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?

For a tool with 15 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the returned data looks like, how results are structured, whether there's pagination beyond the two pagination parameters, or what happens when multiple filters are applied. The description fails to provide the necessary context for an agent to understand the complete behavior of this data retrieval operation.

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 schema description coverage is 100%, so all parameters are documented in the input schema. The description adds no additional parameter information beyond what's already in the schema - it doesn't explain how filtering works, whether parameters are AND/OR combined, or provide examples of parameter usage. With complete schema coverage, the baseline score of 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 verb ('조회합니다' - retrieve/lookup) and resource ('독립유공자 공훈록 목록' - list of independence merit records). It's specific about what data is being accessed. However, it doesn't distinguish this tool from its siblings like 'get_public_report' or explain how this list differs from other data retrieval tools in the server.

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 alternatives. There's no mention of when this list retrieval is appropriate compared to other sibling tools like 'get_public_report' or when to use the filtering parameters versus retrieving all records. The agent receives no contextual usage instructions.

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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