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Novarithm Agent Hub: trust and commerce checks

fx_krw_jpy

[PAID $0.002 USDC/call, x402, eip155:8453] Official KRW/JPY reference rate: latest European Central Bank fixing (or the official peg when JPY is pegged), with the rate date, the method (direct, cross via EUR or peg-derived) and the source attribution. Deterministic, sourced, no estimate.

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": "fx_krw_jpy"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose the payment model (x402, eip155:8453, $0.002/call) and the data provenance, which is genuinely valuable. However, it says nothing about failure behavior when a fixing is unavailable, freshness/latency of the rate, or whether the peg branch changes the response shape.

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?

Tight and largely front-loaded, but the pricing/payment preamble occupies the opening position ahead of the actual purpose, which is the more decision-relevant information for tool selection. The second sentence is dense but every clause (date, method, attribution, no estimate) carries signal.

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?

With no output schema, the description usefully enumerates what comes back: rate date, derivation method (direct, cross via EUR, or peg-derived), and source attribution. Combined with the payment disclosure, that is nearly complete for a zero-parameter read tool; only error/staleness behavior is missing.

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 takes zero parameters, so the baseline is 4. The description correctly implies no inputs are required by framing the pair as fixed in the tool name and the rate as the latest published fixing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: the official KRW/JPY reference rate, with the exact source (European Central Bank fixing) and the fallback case (official peg). It distinguishes itself from estimation-style or conversion tools by naming the deterministic, sourced nature, though it never names siblings like fx_convert or fx_latest as alternatives.

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?

Usage is implied rather than stated: 'official', 'deterministic', 'no estimate' signal this is the authoritative-rate source to prefer over estimates, and the $0.002 USDC/call header tells the agent it is metered. There is no explicit when-to-use vs when-not guidance and no alternative tool is named.

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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