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Search Korean industry news (16 sectors)

search_korean_industry_news
Read-onlyIdempotent

Search Korean industry news across 16 sectors and get on-demand English translations from 전자신문 and 한국경제. Filter by industries like semiconductor, battery, AI, and more.

Instructions

Korean industry news search across 16 sectors with on-demand English translation. Sources: 전자신문 (etnews) + 한국경제 (hankyung). Free tier.

Use this tool when the user asks about: Korean industry trends, sector-specific news on Korean equities (Korean semiconductors / K-battery / K-shipbuilding / K-biotech / K-defense / Korean auto / EV charging / Korean AI / steel / petrochem / construction / fintech / gaming / e-commerce / telco / energy), recent corporate developments not yet captured in DART filings, English summaries of Korean industry coverage. Industry tags listed below — pass them in industries to filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
industriesNofilter to one or more industry tags. Available: semiconductor, shipbuilding, battery, biotech, defense, auto, ev_charging, ai, steel, petrochem, construction, fintech, gaming, ecommerce, telco, energy.
sourcesNofilter to source keys (etnews, hankyung). None = all.
limitNomax articles (≤50).
translateNoserver-side translates `title_en`. Cached aggressively.
license_keyNorequired when license gate is enabled.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior. Description adds valuable context: free tier, aggressive caching for translations, and limit cap of 50.

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?

Concise paragraph front-loads core purpose and usage. Every sentence adds value—no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given rich annotations and output schema, description covers all necessary aspects: when to use, parameters, sources, translation behavior, and industry list. No gaps.

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 3. Description adds meaning by clarifying default nulls, industry list (though schema already has it), source keys, limit max, and the condition for license_key.

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 clearly states it searches Korean industry news across 16 sectors with English translation. It names specific sources and explicitly lists query scenarios, distinguishing it from unrelated siblings.

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?

Provides explicit guidance on when to use, listing example queries and industry tags. Does not mention when not to use, but siblings are distinct enough that exclusions are not critical.

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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