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list_dart_filings

Retrieve DART filings for a Korean company by stock code. Returns rcept_no to use with download_dart_report.

Instructions

List DART filings for a Korean listed company by stock code.

Args: stock_code: 6-digit Korean stock code, e.g. "005930" (Samsung Electronics) bgn_de: Start date YYYYMMDD, e.g. "20230101" (optional) end_de: End date YYYYMMDD, e.g. "20241231" (optional) report_types: DART report detail types to filter (default: ["A001","A002","A003"]) limit: Maximum number of filings to return (default 20, max 100)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
bgn_deNo
end_deNo
stock_codeYes
report_typesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that the parser auto-detects format, that non-parseable types are flagged, and that omitting dates returns most recent filings. This provides useful behavioral context beyond parameter syntax.

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?

Description is well-structured with separate strategy and critical rules sections, concise sentences, and no redundant information. Every sentence adds distinct value.

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?

Despite having an output schema (not shown), the description mentions that it returns rcept_no and flags non-parseable types. For a 5-parameter tool, this is sufficient to understand the tool's role and output, though additional return value details could be included.

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 description coverage is 0%, so description compensates fully. It provides concrete examples for stock_code ('005930'), format for dates (YYYYMMDD), default values for report_types and limit, and max value for limit. All five parameters are clearly explained.

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?

Description uses specific verb 'List' and explicitly states resource 'DART filings for a Korean listed company by stock code'. It clearly distinguishes from sibling tool 'download_dart_report' by mentioning it returns 'rcept_no' needed for download.

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 strategy section instructs to invoke this tool before downloading, and the critical rules provide concrete guidance on using return value for download_dart_report and handling date parameters. However, it does not explicitly contrast with other siblings like get_report_pages.

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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