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search_disclosures

Search for Korean corporate disclosures by company, date range, disclosure type, and final report option. Returns detailed filings from the DART system.

Instructions

공시검색 (list.json). company 는 종목코드/고유번호/회사명. since~until 은 YYYYMMDD (기본 최근 90일). kind 는 공시유형 1글자 (A 정기 / B 주요사항 / C 발행 / D 지분 / E 기타 / F 외부감사 ...). final_only=True 면 최종보고서만. count 는 건수(최대 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYes
sinceNo
untilNo
kindNo
final_onlyNo
countNo
Behavior2/5

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 default date range (90 days) and count limit (100) but does not state read-only nature, authentication needs, rate limits, or behavior on empty results. The description is insufficient for a safe and informed invocation.

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 paragraph that front-loads the purpose ('공시검색 (list.json)') and then concisely explains each parameter. Every sentence adds value with no redundant or filler content.

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

Completeness3/5

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

The description covers all parameters but omits the return format or structure (no output schema provided). It does not mention pagination beyond count, ordering, or error handling. For a search tool with 6 parameters and no annotations, additional output context would be beneficial.

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?

With 0% schema description coverage, the description comprehensively explains each parameter: company (stock code/unique number/name), since~until (YYYYMMDD, default 90 days), kind (types with examples), final_only (boolean), and count (max 100). This adds critical meaning beyond the bare schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states '공시검색' (disclosure search) and specifies the resource ('list.json'). It distinguishes itself from sibling tools by focusing on searching disclosures, while siblings like get_company or get_document are retrieval-focused.

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 explains parameters but provides no guidance on when to use this tool versus alternatives (sibling tools are listed). There is no mention of when to use search_disclosures instead of get_document, insider_holdings, etc., leaving the agent without context for tool selection.

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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