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agm_agenda_xml

Parse Korean AGM agenda items from XML disclosures into a numbered tree structure. Searches automatically by stock ticker or accepts direct receipt numbers, with LLM fallback for incomplete data.

Instructions

desc: 의안(안건) 목록 구조화. 제N호/제N-M호 형식의 트리. when: [tier-5 Detail] 사용자가 안건 상세를 명시적으로 요청했을 때만 사용. ticker만 넣으면 소집공고를 자동 탐색. rule: XML 파싱. 불완전 시 agm_parse_fallback(parser="agenda", tier="pdf") fallback. 판정 기준은 agm_manual 참조. 기업 식별이 불확실하면 corp_identifier 먼저 호출. ref: agm_parse_fallback, agm_items, agm_manual, corp_identifier

Args: ticker: 종목코드 또는 회사명 (예: "삼성전자", "005930"). rcept_no 미입력 시 소집공고 자동 탐색. rcept_no: 접수번호 직접 지정 (예: 20260225000123). 입력 시 ticker보다 우선. use_llm: True면 파싱 실패/의심 시 LLM fallback 사용 (기본: False) max_fallback_length: LLM fallback 시 원문 최대 글자 수 (기본 3000, 0이면 제한 없음) format: 반환 형식. "md" (마크다운, 기본) 또는 "json" (프론트엔드용)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNomd
tickerNo
use_llmNo
rcept_noNo
max_fallback_lengthNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. Describes XML parsing and fallback, but lacks explicit statement on side effects, read-only nature, or auth requirements. Could be more transparent about safety.

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?

Well-structured with sections (desc, when, rule, ref, args). Front-loaded with purpose and conditions. Some redundancy between description and arg list, but overall efficient.

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?

Given existence of output schema (context signal), description need not explain return values. Covers usage conditions, fallback, prerequisites, and format options. Adequately addresses complexity with references to related tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but description provides detailed parameter documentation for all 5 parameters, including examples, default values, and behavior (e.g., rcept_no priority, use_llm fallback). Fully compensates for schema gap.

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?

Description clearly states tool structures agenda items list in tree format. Verb '구조화' plus resource '의안(안건) 목록' makes purpose clear. References sibling tools like agm_items and agm_parse_fallback for differentiation.

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

Usage Guidelines5/5

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

Explicitly specifies when to use: [tier-5 Detail] when user requests agenda details. Provides fallback rule (agm_parse_fallback), prerequisite (corp_identifier if uncertain), and references to manual. Also explains auto-search behavior with ticker only.

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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