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dart-search-mcp

by memorise8

get_multi_company_financials

Retrieve and compare key financial statement items (e.g., revenue, operating profit) for multiple companies from Korea's DART system. Specify company codes, fiscal year, and report type.

Instructions

DART에서 여러 회사의 주요계정 재무제표를 한 번에 조회합니다.

최대 여러 회사의 매출액, 영업이익, 당기순이익, 자산총계 등
주요 재무항목을 비교할 수 있습니다.

Parameters:
    corp_code: DART 고유번호 (쉼표로 구분하여 복수 입력, 예: "00126380,00164779,00258801")
    bsns_year: 사업연도 (예: "2024", "2023")
    reprt_code: 보고서코드
        11013=1분기보고서, 11012=반기보고서,
        11014=3분기보고서, 11011=사업보고서(기본값)

Returns:
    다중회사 주요계정 재무제표 (회사별/재무제표 구분별 주요 계정 비교)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
corp_codeYes
bsns_yearYes
reprt_codeNo11011

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 the full burden. It discloses that the tool returns key accounts and compares by company/statement type, but does not mention authentication, rate limits, or data volume limits. It provides basic behavioral info but lacks depth.

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 well-structured with sections (general, parameters, returns), written in Korean, and is concise with no extraneous content. It is front-loaded with the main purpose.

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

Completeness5/5

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

Given that an output schema exists (context: has_output_schema=true), the description need not detail return values. It covers the tool's purpose and parameters completely, making it self-sufficient for an agent.

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?

The schema has 0% description coverage, but the description fully explains each parameter: corp_code (comma-separated DART numbers), bsns_year (business year example), and reprt_code (report type with default and codes). This adds significant meaning beyond the parameter names.

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 it retrieves key financial statements for multiple companies from DART and lists specific items (매출액, 영업이익 등). The verb '조회' and resource '주요계정 재무제표' are specific, and it distinguishes from siblings like get_financial_statements (single company) and get_multi_company_indicators.

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 explains when to use: to compare key financial items of multiple companies. It implicitly distinguishes from single-company tools, but does not explicitly state when not to use or mention alternatives like get_financial_statements or get_multi_company_indicators.

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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