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shareholder_meeting_notice

Retrieve shareholder meeting notices for Korean companies, including agenda, director candidates, compensation limits, and articles of incorporation changes. Data sourced from DART API.

Instructions

desc: 주주총회 소집공고 (사전, DART API/XML). 안건·이사 후보·보수한도·정관변경. when: 주총 일정·안건·후보·보수·정관 확인. 결과는 shareholder_meeting_results, 종합 분석은 proxy_advise_before_meeting. rule: 회사 식별 exact만 자동 선택. 정정공시 있으면 최신 정정본 자동 선택. meeting_type: auto(정기/임시 최신 회차 자동) / annual / extraordinary scope: summary 메타+안건+1호 메타 / board 이사·감사 후보 / compensation 보수한도 / aoi_change 정관+퇴직금 변경 raw / prov_financials 잠정 재무제표 4 quadrant include_coverage: true면 조회 구간 내 정기/임시 주총 존재 여부를 추가 계산(느려질 수 있음). 기본 false. rcept_no: 이미 소집공고 접수번호를 알면 회사/후보 검색을 건너뛰고 직접 파싱. ref: company, ownership_structure, proxy_contest, shareholder_meeting_results, proxy_advise_before_meeting, evidence

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
scopeNosummary
formatNomd
companyYes
end_dateNo
rcept_noNo
start_dateNo
meeting_typeNoauto
lookback_monthsNo
include_coverageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that include_coverage can slow things down, that it automatically selects the latest corrected filing, and that providing rcept_no skips searches. However, it does not explicitly state read-only behavior, authentication needs, or rate limits. Adequate but not exhaustive.

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?

The description is structured with clearly labeled sections (desc, when, rule, parameter details, ref). It front-loads the purpose. While somewhat verbose, it efficiently conveys necessary information for a tool with many parameters.

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 the presence of an output schema, the description does not need to detail return values. It covers purpose, usage context, key parameter behaviors, and relationships with sibling tools. Missing parameter explanations for 6 out of 10 parameters is a gap, but the explained ones are thorough.

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?

Schema coverage is 0% per context, but the description explains semantics for meeting_type, scope, include_coverage, and rcept_no, adding value beyond the schema. However, it misses explanations for year, format, end_date, start_date, lookback_months, and company, which are important for date ranges and input validation.

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 retrieves shareholder meeting notices (소집공고) including agenda, director candidates, compensation limits, and articles changes. It distinguishes from siblings by mentioning that results feed into shareholder_meeting_results and proxy_advise_before_meeting, but does not explicitly contrast with all siblings.

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?

The description includes a 'when' section indicating when to use ('주총 일정·안건·후보·보수·정관 확인') and directs to sibling tools for results and comprehensive analysis. It also provides rules (exact company identification, automatic latest corrected filing selection). This gives clear context but lacks explicit exclusions.

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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