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GeeYun086

korea-public-data-mcp

kosis_get_statistics_data

Retrieve statistical data tables from KOSIS by organization and table ID. Specify period type and range (year, quarter, month) to batch fetch multiple periods in a single call.

Instructions

kosis_search_statistics로 찾은 org_id/tbl_id의 통계자료를 표 단위로 일괄 조회한다. prd_se: 'Y'(연)|'Q'(분기)|'M'(월). start_prd~end_prd로 기간 범위를 지정하면 여러 연도/월을 한 번의 호출로 받아올 수 있다 (개별 호출 반복 금지).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_idYes
prd_seNoY
tbl_idYes
end_prdNo
item_idsNo
start_prdNo
Behavior2/5

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

No annotations at all, so the description carries full transparency responsibility. It hints at batching advantages ('individual call repetition prohibited') but omits what gets destroyed (nothing), auth requirements, or whether the tool is read-only or state-changing. A batch-fetch tool needs to clarify whether partial failures are possible and if the result is a single combined table.

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?

Three sentences are adequate: first states main action, second explains period selection parameter, third emphasizes batch advantage. Every sentence earns its place, but a bit more structure (e.g., a line for required params) would help scannability.

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?

With no output schema and 0% schema parameter descriptions, the description should compensate by stating return format (e.g., rows/columns), handling of missing data, maximum period range, and error responses for invalid IDs. Sibling tools (ecos_search_statistics etc.) add context but don't fill gaps for this tool's specific output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description is the only source for parameter meaning. It explains prd_se values ('Y'/'Q'/'M') and teaches start_prd~end_prd as a range idiom. But org_id, tbl_id, item_ids, and end_prd are not described: org_id and tbl_id are required and assumed from kosis_search_statistics results, yet no linking description is given.

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?

Uses a specific verb ('retrieve') and specific resource ('statistics data for org_id/tbl_id found via kosis_search_statistics'), then distills from sibling tools (dart_, ecos_, kosis_) by referring to the search tool. Distinct from dart's financial statements and ecos's indicator data.

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?

Explicitly states when to use: after kosis_search_statistics provides org_id/tbl_id. Also gives explicit when-not: avoid individual calls by using start_prd~end_prd batched range. No mention of when to prefer siblings like ecos_get_statistic_data for other data sources.

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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