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Korea 10-day export flash (Korea Customs): totals, YoY, top items and markets

kr_trade_exports_10day

Use when you need South Korea's earliest export read: the Korea Customs 10-day provisional release (days 1-10, 1-20, full month; out on the 11th, 21st and 1st). Input: optional month (YYYYMM) and period (10, 20, full); default latest. Output: JSON exports in USD with YoY %, latest 10-day increment, 10 key items (semiconductors, cars, ships...) and 10 markets (China, US, EU, Vietnam...) with YoY and share, next release date. Example: ?month=202609 Price: $0.0045 USDC (Base or Solana) via x402.

Input Schema

NameRequiredDescriptionDefault
monthNoRelease month YYYYMM (default: latest release; data from 2024-09)
periodNo10 (days 1-10), 20 (days 1-20) or full; requires month. Default: latest available for the month

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / month / description
      Previous value: -"Release month YYYYMM (default: latest release)"New value: +"Release month YYYYMM (default: latest release; data from 2024-09)"
  2. Added

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden, and it does real work: it discloses the release schedule (11th, 21st, 1st), the paid x402 access model with price and chains, and the data start date. It does not cover failure modes or rate/limit behavior.

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?

Front-loaded with the use condition, followed by input/output/example/price in a compact sequence with no filler. The single long sentence is dense but each clause carries distinct information.

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?

With no output schema, the description must describe returns, and it lists USD exports, YoY, the 10-day increment, key items, markets, shares, and next release date. Missing only edge-case behavior (e.g. unavailable month) to be fully complete.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3; the description goes further by giving a concrete example query (?month=202609) and restating the default-latest behavior and the period/month dependency in plain language.

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?

Names a specific verb and resource ('Korea Customs 10-day provisional release') and pins the scope (days 1-10, 1-20, full month). It clearly separates itself from the other Korea trade siblings by framing this as the earliest/flash read.

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?

'Use when you need South Korea's earliest export read' gives a clear use condition, and the release cadence tells the agent when data exists. It does not explicitly say when to prefer kr_trade_hs or kr_trade_pulse instead, so it falls short of full alternative routing.

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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