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get_exchange_alerts

Read-only

Get Korean exchange alerts: new listings, delistings, investment warnings, and caution flags. Detects INVESTMENT_WARNING, PRICE_FLUCTUATIONS, VOLUME_SOARING, DEPOSIT_SOARING, GLOBAL_PRICE_DIFF, SMALL_ACCOUNTS_CONCENTRATION. New listings/delistings detected by comparing market list changes every 60 seconds. Critical for risk management and early listing detection.

šŸ’° Price: $0.01 USDC per call šŸ’³ Payment: x402 micropayment on Base, Polygon, or Solana šŸ”§ Client: AgentCash, Pay.sh, or any x402 SDK šŸ“– Docs: https://api.printmoneylab.com/.well-known/x402

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already signal readOnlyHint=true, so behavioral burden is lower. The description adds valuable context: the detection mechanism ('comparing market list changes every 60 seconds'), the specific alert categories detected, and payment requirements ($0.01 USDC per call, x402 payment). This goes beyond annotations without contradicting them.

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 with a functional summary first, then payment and access details in a clearly separated block. It's slightly longer than necessary because of pricing/client info, but each sentence carries useful information for an agent deciding whether to call the tool.

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?

With zero parameters and an output schema present, the description need not explain parameters or return values. It fully covers what the tool detects, how detection works (60-second polling), and the cost/access requirements, making it complete for an agent to decide and invoke correctly.

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?

The tool has zero parameters, so the schema provides no meaning to add. The description compensates by explaining what the tool does when invoked, satisfying the baseline for zero-param tools.

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 'Get Korean exchange alerts' and enumerates specific alert types (new listings, delistings, investment warnings, caution flags). This specific verb+resource combination distinguishes it from sibling tools like get_kimchi_premium or get_arbitrage_scanner.

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?

It notes 'Critical for risk management and early listing detection,' providing clear use context. However, it does not explicitly compare to alternatives or state when not to use it, so it lacks the explicit exclusion found in top-tier examples.

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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TDQS

A4/5.0
Disambiguation3/5

Most tools have distinct purposes (prices, alerts, news, health), but several overlap: get_kimchi_premium vs get_arbitrage_scanner both cover premium data, and get_kr_sentiment, get_market_read, and get_global_vs_korea_divergence_deep all provide AI analysis with different scopes, which could confuse an agent.

Naming Consistency5/5

All tools follow a consistent get_<descriptive_noun> pattern in snake_case, with check_health as the only deviation, which is a conventional health-check exception. The naming is highly predictable.

Tool Count3/5

With 17 tools, the server is on the heavy side per the calibration (16-25 feels heavy). While the domain is broad and each tool has a role, the existence of paired summary/deep variants adds redundancy that could be consolidated.

Completeness4/5

The tool set covers a comprehensive Korean crypto intelligence surface: prices, premiums, arbitrage, alerts, sentiment, market analysis, FX, news, and health. Minor gaps like a general Korean crypto news tool or historical data are not critical but prevent a perfect score.