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World export ranking for a product

export_rank
Read-onlyIdempotent

World exporters of a product (UN Comtrade, latest year), Korea's rank and value, and where Korea already sells it most.

Input Schema

NameRequiredDescriptionDefault
itemYesProduct as an HS4 code (e.g. '3304') or a name in English or Korean (e.g. 'sunscreen', '라면'). Names cover TradeGraph's 35 items; any other product works as a 4-digit HS code (e.g. '1905' biscuits, '2005' kimchi, '3305' shampoo) with live UN Comtrade imports.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds genuine context beyond them: the data source (UN Comtrade) and recency (latest year), plus what the result contains. It does not describe result size, units, or ranking length, so it stops short of full behavioral disclosure.

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?

One dense sentence with no filler, and the most discriminating detail (world ranking) comes first. It is a noun phrase without an explicit verb, which slightly weakens front-loading of the action, but nothing is wasted.

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 and a single fully-documented parameter, the description carries most of the burden and does sketch the return content (exporter ranking, Korea rank/value, top markets). It could say more about how many exporters are returned or the response shape, but it is sufficient for a correct call.

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% and the single `item` parameter is richly documented with HS4 codes and name examples. The description only restates 'a product' and adds no format, validation, or fallback detail beyond the schema. Baseline 3 is appropriate when the schema does all the work.

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 names a specific resource and scope: world exporters of a product from UN Comtrade, plus Korea's rank, value, and top markets. An agent can tell it returns a ranking view rather than a general market scan. It does not name or contrast any sibling (market_scan, country_brief, find_item), so differentiation is left implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not guidance and no named alternative among the many sibling tools. Usage is only implied by the scope: product-level export landscape centered on Korea. An agent must infer the routing decision itself.

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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