MyKIFRS

MyKIFRS MCP의 get_paragraph 도구는 기준서 문단 전문을 앞뒤 문맥과 함께 반환합니다. [Purpose] - To quote a found 문단 exactly — a search snippet is never quotable evidence. - To check 조건절·예외 with neighbors. [Usage] 1. "1116호 33문단 원문" → unique_key="1116-33" 2. "앞뒤로 더 넓게" → unique_key="1116-33", context=5 [Response] - { standard:{std_num, title, category}, target, related_qnas:[doc_number], items:[…] } - items[]: { seq, item_type, unique_key, para_num, level, title, ref, content_text }; item_type "paragraph"=본문, "title"=제목. - related_qnas → get_qna. - Miss → { error: "문단 없음: {unique_key}", similar:[{unique_key, para_num}] } (≤5). [Rules] - unique_key = "{기준서번호}-{문단번호}"; 문단 numbers aren't digits-only (B58·6.1.1) — pass verbatim, never normalize. - Keys can carry a "-N" suffix ("1109-B2.7" misses, "1109-B2.7-1" hits — 12% of 문단). On a miss retry a `similar` candidate; never read it as "the 문단 does not exist". - context expands within one part — boundaries return fewer items; not an error. - Quote content_text, never a snippet.

MyKIFRS MCP의 get_qna 도구는 질의회신 전문을 반환합니다. [Purpose] - The 회신 full text for a doc_number (search_qnas, get_paragraph's related_qnas) or a qna_key (search_qnas). [Usage] 1. "2017-001 회신 전문" → doc_number="2017-001" 2. "legacy:6009 전문" → qna_key="legacy:6009" [Response] - { results:[{source, qna_key, doc_number, date, title, rel_stds, full_content, org}] } - Miss → { error: "문서번호 없음: {doc_number}", similar:[{source, qna_key, doc_number, title}] } (≤5 부분일치) or { error: "qna_key 없음: {qna_key}" }. - source / org / rel_stds: same meaning as in search_qnas. [Rules] - results is an array; doc_number is NOT unique ("GKQA03-100" → 2 rows). Never answer from the first row alone — pin one by qna_key. - qna_key = "{source}:{id}" exactly as returned; if both arguments are given, qna_key wins. - 번호 formats differ by series ("2021-G-KQA005" · "GKQA01-085" · "금감원사례-1") — pass the value as received, never alter case or separators. - On a miss, re-ask using `similar` rather than guessing another 번호.

MyKIFRS MCP의 list_standards 도구는 수록된 기준서 카탈로그를 반환합니다. [Purpose] - Which 기준서 are in the corpus, and which numbers feed search_standards' std_num filter. [Usage] 1. "수록된 기준서 전부" → (인자 없음) 2. "감사기준서만" → category="audit" 3. "내부회계관리제도 관련" → category="icfr" [Response] - { count, standards:[{std_num, title, category}] } - category values: kifrs(한국채택국제회계기준) · interpretation(해석서) · concept(재무보고를 위한 개념체계) · kgaap(일반기업회계기준) · audit(감사기준서) · icfr(내부회계관리제도) · esg(KSSB 지속가능성 공시기준) · translation(번역본) · special(특수분야). [Rules] - Lists 수집 성공(crawl_status='ok') 기준서 only — an absent 기준서 means "미수집", not "존재하지 않음". - category is a free-form string, not an enum: an unknown value returns count=0, not an error.

MyKIFRS MCP의 search_qnas 도구는 회계기준원·금융감독원·신속처리질의·IFRS 해석위원회 질의회신 3,669건을 전문검색합니다. [Purpose] - Official 회신 for practice issues the 기준서 text alone cannot settle. - For 회신 tied to a 문단, get_paragraph's related_qnas is more precise. [Usage] 1. "전환사채 콜옵션 회계처리 질의회신" → query="전환사채 콜옵션" 2. "리스료 재측정 회신 30건" → query="리스료 재측정", limit=30 [Response] - { hits, results:[{source, qna_key, doc_number, date, title, rel_stds, org, snippet}] } - source = 수록 세대 ("v2" 현행 / "legacy" 구 QnA), NOT the 회신 기관. - org = 회신 기관: 회계기준원 / 금융감독원 / 신속처리질의 / IFRS 해석위원회 논의결과 ("구 QnA" = unmapped legacy 유형). - rel_stds is raw HTML: <span data-std="1109" data-id="6.1.1"> → unique_key "1109-6.1.1". [Rules] - Tokens ≥3 chars → FTS (AND, rank); 1~2 chars → LIKE. - Never present `source` as the 회신 기관 — use `org`. - Strip HTML in rel_stds; build 문단 키 from data-std/data-id. - qna_key ("{source}:{id}") is get_qna's single-row handle — use it when doc_number is "" or duplicated. legacy 회신 are mostly 2000~2011 (구 기업회계기준) — check `date` before citing.

MyKIFRS MCP의 search_standards 도구는 K-IFRS·일반기업회계기준·감사기준서·내부회계관리제도·ESG(KSSB) 기준서 본문을 전문검색합니다. [Purpose] - Find the 기준서 문단 grounding a treatment ("사용권자산 손상 is which 문단?"). - For a hit's 원문·문맥, pass its unique_key to get_paragraph. [Usage] 1. "사용권자산 손상 관련 기준" → query="사용권자산 손상" 2. "1116호 안에서만 리스료 재측정" → query="리스료 재측정", std_num=1116 3. "수익 인식 5단계 문단 30개까지" → query="수익 인식 단계", limit=30 [Response] - { hits, results:[{std_num, std_title, category, unique_key, snippet}] } - unique_key = "{std_num}-{문단번호}" (e.g. "1116-33", "1109-6.1.1", "2-2.7") — feed to get_paragraph. - snippet marks matches with ⟦…⟧ and elides with "…". - Empty query returns { error: "검색어가 비어 있음" }. [Rules] - Tokens of ≥3 chars go to FTS (AND-joined, rank-ordered); 1~2 char tokens become LIKE filters. Short-token-only queries work but are ordered by std_num, not relevance. - Body 문단 only (item_type='paragraph') — 제목 rows are excluded, so a hit is always body text. - snippet is a fragment, never the whole 문단 — do not quote it as 기준서 원문.