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bakyang2

kr-crypto-intelligence

get_kr_prices

Read-only

Get real-time Korean Won prices for any cryptocurrency from Upbit and Bithumb, including 24h volume and change rate.

Instructions

Get cryptocurrency prices from Korean exchanges (Upbit, Bithumb). Returns KRW-denominated prices, 24h volume, and change rate.

💰 Price: $0.001 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoCrypto symbol to query (e.g., BTC, ETH, XRP)BTC
exchangeNoExchange to query: upbit, bithumb, or allall

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds value by specifying the data returned (prices, volume, change) and noting the payment model (x402 micropayment), which is beyond annotations. No contradiction.

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 well-structured and front-loaded with the tool's core purpose. However, the payment details (cost, client, docs) are extraneous for an AI agent's tool selection, adding unnecessary length.

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?

Given the presence of an output schema (not shown but indicated) and clear annotations, the description provides adequate context for the tool's functionality. The payment info is extra but not detrimental.

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 adds context by listing output fields (prices, volume, change), which indirectly clarifies parameter purposes. It also mentions the payment aspect, but that's not parameter-specific.

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 states the tool retrieves cryptocurrency prices from specific Korean exchanges (Upbit, Bithumb) and returns KRW-denominated data, including volume and change rate. This verb+resource+scope effectively distinguishes it from sibling tools like get_kimchi_premium or get_fx_rate.

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?

The description implies usage for querying Korean exchange prices but does not explicitly state when to use versus alternatives (e.g., get_market_read for broader market info). No when-not or exclusion guidance is provided.

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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