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kten-agent

Hermes Asia x402 MCP Server

by kten-agent

cn_jp_currency_api

Access real-time USD, CNY, and JPY exchange rates via a pay-per-call API using USDC, enabling AI agents to retrieve currency data without subscriptions.

Instructions

Real-time USD/CNY/JPY exchange rates for AI trading agents. $0.001 USDC per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoBase currency codeUSD
targetYesTarget currency code
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions real-time updates and cost per request, but does not clarify whether the tool is read-only, requires authentication, has rate limits, or what side effects (e.g., billing) occur. These gaps hinder an agent's understanding of safe invocation.

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 extremely concise: a single sentence and a cost note. Every piece of information is relevant, and the purpose is stated upfront. No unnecessary words or repetition.

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

Completeness2/5

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

Given that there is no output schema, the description should have explained return format or structure, but it does not. For a simple tool with two parameters, the missing output details and lack of error/behavioral notes make it incomplete for an agent to fully trust and use it correctly.

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?

Input schema has 100% description coverage for both parameters (base and target), each with explicit enums and defaults. The description adds no additional parameter-level meaning beyond what the schema provides, so baseline score 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 states it provides real-time exchange rates for three specific currencies (USD/CNY/JPY), specifies its target audience (AI trading agents), and includes a cost note. This distinguishes it from sibling tools like asia_news_api or japanese_research, which do not cover currency exchange.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool vs alternatives, nor does it mention conditions under which it should not be used. While the sibling tools are mostly news or market data, the description lacks explicit usage context.

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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