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

by io.github.juh5ng
OverviewDiscussionsAdmin

research_latest

Latest Korean brokerage equity research across all covered companies, newest first — company and KRX ticker, target price, rating, brokerage, analyst, and a one-line English summary of each report. Facts and summaries only; the report PDF stays with its publisher and source_url links back to it. Optional ?limit=20 (max 50). Costs $0.02 in USDC per call, settled via x402.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "research_latest"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax reports (default 20, max 50)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and handles it well. It discloses the output ordering, the fact that only facts and summaries are returned, that the PDF stays with the publisher, that source_url links back to the report, and the exact cost and settlement method.

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?

The description is dense but not bloated; every clause contributes scope, return fields, behavioral caveats, or cost. The sentence listing fields is a bit long, but it remains readable and front-loads the core purpose before the caveats and cost.

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?

For a simple one-parameter list tool with no output schema, the description covers the return fields, ordering, link behavior, and cost. It does not specify pagination beyond the limit, but the tool is simple enough that nothing essential is missing for a correct invocation.

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 schema already documents the only parameter, limit, with a description and max value. The tool description restates this as 'Optional ?limit=20 (max 50)', adding only the default value and query-string form. Since schema coverage is 100%, a baseline of 3 is appropriate.

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 clearly identifies the resource: latest Korean brokerage equity research across all covered companies, ordered newest first. It enumerates the exact fields returned, which distinguishes it from ticker-specific or consensus siblings by scope and ordering.

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?

The phrase 'across all covered companies, newest first' establishes a clear context for when to use this tool: to get a broad, chronological feed of the latest research. It does not explicitly name alternatives or state when not to use it, but the all-companies scope makes the intended use evident.

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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