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Resolve Korean company name to DART corp_code

lookup_corp_code
Read-onlyIdempotent

Resolve Korean company names to DART corp codes. Enables tracking filings, activist investors, and foreign holders for listed and unlisted entities.

Instructions

Korean company name → DART corp_code resolver. 117K+ entities indexed (KOSPI + KOSDAQ + KONEX + unlisted). Free tier.

Use this tool when the user mentions a Korean company by name (Korean characters or English/romanized) and you need the DART corp_code as a precondition for track_korean_filings, monitor_activist_investors, or monitor_foreign_holders. Also use to disambiguate same-name listed vs unlisted entities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYessubstring of the Korean corp name. Examples: "삼성전자", "현대차", "셀트리온".
listed_onlyNoif True, only return companies with a KRX stock code.
limitNomax matches to return.
license_keyNosubscription key. Required when license gate is enabled.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations already provide readOnlyHint, idempotentHint, and non-destructive. Description adds free tier, 117K+ entity coverage across multiple exchanges, and disambiguation capability – context beyond annotations.

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?

Two concise paragraphs: first states purpose and coverage, second gives usage guidance. No redundant sentences.

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?

Output schema exists so return values need not be described. Covers purpose, scope, prerequisites, disambiguation – fully addresses complexity.

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 100% with detailed parameter descriptions (examples for query, default values). Description does not add extra information beyond schema, so baseline score of 3 applies.

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?

Clear verb-resource pair: resolves Korean company name to DART corp_code. Distinct from sibling tools like track_korean_filings and monitor_activist_investors, which use the corp_code.

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 states when to use: when a Korean company name is mentioned and corp_code is needed as precondition for other tools. Also mentions disambiguation for same-name entities.

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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