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Glama

K-Data — Korean Sell-Side Research & Market Data

by io.github.juh5ng

news_headlines_en

Latest Korean headlines with English translations attached (title_en), from Yonhap, Maeil Business and Hankyung — deduplicated, newest first. Use this instead of the Korean-only route when the consuming agent does not read Korean. Optional ?category=top|economy|tech|politics and ?limit=20 (max 50). Costs $0.05 in USDC per call, settled via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax items (default 20, max 50)
categoryNoFilter by category

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses sources, deduplication, ordering, English translation behavior, per-call cost in USDC, and x402 settlement. It leaves a few minor details unstated, such as exact response shape, but the core behavioral transparency is strong.

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?

The description is compact and each clause earns its place: core purpose, usage guidance, parameters, and cost. The most important differentiator, English translations, is front-loaded immediately.

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 no annotations and no output schema, the description provides enough operational detail to use the tool correctly: sources, language, ordering, dedup, optional parameters, and cost/settlement. Nothing essential is missing.

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?

The input schema already covers both parameters with descriptions and enum values, so schema coverage is 100%. The description restates the limit default/max and category values but adds little semantic meaning beyond confirming that both are optional.

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?

The description identifies the resource (Korean headlines), the key differentiator (English translations as title_en), and distinguishes this from the Korean-only sibling news_headlines. The purpose is immediately clear: fetch an English-translated, deduplicated, newest-first headline feed.

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

Usage Guidelines5/5

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

The description explicitly says 'Use this instead of the Korean-only route when the consuming agent does not read Korean.' This gives the agent a clear decision rule and names the alternative route without ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All K-Data — Korean Sell-Side Research & Market Data toolsInspect
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TDQS

A3.9/5.0
Disambiguation4/5

Each tool targets a fairly distinct resource and action: market snapshots vs. single tickers, current vs. historical vs. statistical kimchi premium, headlines vs. English headlines, and per-company vs. latest vs. consensus research. The main ambiguity is between preview_research and preview_research_coverage, and korea_market_snapshot overlaps with several individual data tools, but descriptions clarify the granularity and combined-briefing intent.

Naming Consistency5/5

All tool names use a consistent lowercase snake_case convention with clear domain prefixes like crypto_krw_, kimchi_premium_, news_, preview_, and research_. The English variant news_headlines_en and the aggregate korea_market_snapshot still follow the same readable naming style.

Tool Count4/5

Fifteen tools sit at the upper boundary of a well-scoped set, but each serves a clear purpose in a paid API that exposes market data, kimchi analytics, news, research, and free previews. The set is slightly broad because it spans two domains and includes aggregate and preview endpoints, but the count is defensible.

Completeness4/5

Core workflows are well covered: current and historical market data, USD/KRW, kimchi premium current/history/stats, translated news, per-company research, latest research, and consensus. Gaps are minor and mostly outside the stated scope, such as full-text news articles, historical crypto OHLC, or advanced research filtering by sector or brokerage.

Resources