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Novarithm Agent Hub: trust and commerce checks

fx_jpy_aed

[PAID $0.002 USDC/call, x402, eip155:8453] Official JPY/AED reference rate: latest European Central Bank fixing (or the official peg when AED 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_jpy_aed"
  }
}

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 paid cost ($0.002 USDC/call), the x402 payment protocol and chain (eip155:8453), the data provenance (ECB fixing or official peg), the derivation method, and that results are deterministic rather than estimated. It does not state the ECB publication cadence or what happens on weekends/holidays, which matters for a 'latest fixing' tool.

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?

Two sentences, front-loaded with the payment terms so an agent sees the cost before committing, then the data semantics. The bracketed prefix is dense but every token is load-bearing; only the trailing 'Deterministic, sourced, no estimate' is mildly redundant with the ECB attribution already given.

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?

No output schema exists, so the description must convey return values itself, and it does: rate value, rate date, derivation method, and source attribution. Combined with the cost/payment disclosure, an agent has everything needed to decide whether to call it and what it will get back.

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 input is needed since the currency pair is baked into the tool identity. It usefully pre-describes the returned fields (rate, rate date, method, source attribution) instead, which is the relevant semantic information here.

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?

Names the exact resource (JPY/AED reference rate) and specifies the authoritative source (ECB fixing, or the official AED peg), which is far more specific than the bare pair encoded in the tool name. An agent can distinguish this from fx_convert, fx_latest, or fx_timeseries because the description pins it to a single latest fixing.

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 pair and the word 'latest' imply when to call it — a single current spot reference — but there is no explicit routing guidance toward fx_convert (for conversion math), fx_latest (for multi-pair snapshots), or fx_timeseries (for history). In a sibling set of hundreds of pair tools, one clause naming the closest alternative would raise this substantially.

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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