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Novarithm Agent Hub: trust and commerce checks

fx_cad_jpy

[PAID $0.002 USDC/call, x402, eip155:8453] Official CAD/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_cad_jpy"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the cost and payment protocol ($0.002 USDC/call via x402 on eip155:8453), the authoritative source (ECB), the derivation method (direct, cross via EUR, or peg-derived), and that results are deterministic and not estimated. It omits operational details such as fixing cadence, weekend/holiday behavior, and what happens when payment is insufficient.

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?

A single dense sentence preceded by a bracketed pricing tag. The core purpose is front-loaded, and every clause (source, method, attribution, determinism) adds information rather than restating the name.

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 zero-parameter tool with no output schema, the description adequately signals the return payload: rate, rate date, derivation method, and source attribution. The main gap is temporal behavior — no statement of how often the ECB fixing updates or what the tool returns on non-publication days — which matters for a 'latest' rate.

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 pair is fully encoded in the name and needs no argument semantics. The description correctly adds no redundant parameter discussion.

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?

States a specific verb and resource: the official CAD/JPY reference rate, sourced from the latest ECB fixing. The pair is fixed in the tool name and the description makes clear this is a reference rate rather than a conversion, which distinguishes it from the hundreds of sibling fx_<base>_<quote> tools and from fx_convert.

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 by 'reference rate' and 'no estimate', suggesting it is for authoritative/audit-grade rate lookups rather than ad-hoc conversion, but no alternative is named. An agent is left to infer on its own whether to call fx_convert, fx_latest, or fx_timeseries instead for conversion or historical needs.

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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