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gyeongmin100

OpenDART MCP Server

by gyeongmin100

get_single_financial_index

Retrieve key financial indicators for a single company: profitability, stability, growth, and activity metrics. Specify corporation code, business year, report type, and indicator classification.

Instructions

단일 회사의 주요 재무 지표를 조회합니다 (수익성, 안정성, 성장성, 활동성 지표).

Args: corp_code: DART 기업 고유번호 8자리 (get_corp_codes 툴로 조회) bsns_year: 사업연도 (YYYY, 예: "2023") reprt_code: 보고서 코드 ("11013"=1분기, "11012"=반기, "11014"=3분기, "11011"=사업보고서) idx_cl_code: 지표 분류 코드 ("M210000"=수익성지표, "M220000"=안정성지표, "M230000"=성장성지표, "M240000"=활동성지표)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bsns_yearYes
corp_codeYes
reprt_codeYes
idx_cl_codeYes
Behavior2/5

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

With no annotations provided, the description carries the full burden. It does not disclose any behavioral traits such as data freshness, authentication needs, or side effects. It is limited to a basic retrieval function description.

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 relatively concise with a one-line summary followed by clear argument documentation. It is well-structured but could be slightly more streamlined by removing the docstring-style repetition.

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

Completeness2/5

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

Given the absence of an output schema and the tool's role in returning financial data, the description lacks information about the response format or structure. This makes it incomplete for an agent to understand what to expect.

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 coverage is 0%, but the description compensates excellently by explaining each parameter with example values and meanings. For instance, it explains corporate code usage, report codes with quarterly mappings, and indicator classification codes.

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 financial indicators for a single company, mentioning specific categories. It does not explicitly distinguish from the sibling 'get_multi_financial_index', but the 'single' vs 'multi' distinction is implied.

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 provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It only lists arguments.

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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