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Dayoooun

Korea Stats MCP

by Dayoooun

compare_statistics

Compare statistical data from KOSIS across different time periods, regions, or items to analyze trends and variations.

Instructions

여러 지역, 시점, 또는 항목의 통계 데이터를 비교합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
objL1No분류1 코드
objL2No분류2 코드 (일부 테이블에서 필요)
orgIdYes기관 ID
itemIdNo항목 ID
periodsNo비교할 시점들 (예: ["2022", "2023", "2024"])
tableIdYes통계표 ID
periodTypeYes주기: Y(년), M(월), Q(분기)
compareTypeYes비교 유형: period(시점 비교), item(항목 비교)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the tool compares data, without indicating whether it is read-only, requires specific permissions, or has any side effects. For an 8-parameter tool, more transparency is needed (e.g., whether data is aggregated, if results are paginated).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It is front-loaded with the core action, but the brevity may leave the agent without enough context to select or invoke the tool correctly. It earns its place but could be slightly more informative.

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 tool has 8 parameters, two enums, no output schema, and no annotations, the description is insufficient. It does not hint at return values, error states, or usage patterns (e.g., whether regions are specified via parameters). The agent needs more context to use this tool effectively.

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 description coverage is 100%, so the baseline is 3. The description does not add additional meaning beyond the schema; it simply restates the tool's purpose. Since the schema already explains parameters adequately, this score is appropriate.

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 compares statistical data across multiple regions, time points, or items, providing a specific verb and resource. It distinguishes from siblings like search_statistics (which implies searching) and get_statistics_data (which implies retrieving raw data). However, it does not explicitly mention the comparison types (period/item) available in the schema.

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?

No guidance on when to use this tool versus alternatives. The description does not state when-not to use it, nor does it mention any prerequisites or fallback tools. Given the sibling tools include analyze_time_series and quick_stats, comparative context is missing.

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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