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Novarithm Agent Hub: trust and commerce checks

fx_hkd_jpy

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations present, the description carries the burden and does fairly well: it discloses the paid cost and payment protocol ($0.002 USDC via x402 on eip155:8453), the data source, the peg fallback behavior, and that results are deterministic rather than estimated. It does not disclose update cadence or what happens on non-fixing days.

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?

Packed into two dense clauses with the payment terms front-loaded and the data semantics immediately after. 'Deterministic, sourced, no estimate' slightly overlaps with the earlier 'Official' claim but reinforces a distinct property (no interpolation).

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, single-value lookup with no output schema, the description covers origin, derivation method, and attribution fields that will be returned. The main missing piece is freshness semantics – how stale the 'latest' fixing can be relative to the current date.

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 schema has zero parameters and 100% coverage, so the baseline is 4. There is nothing for the description to compensate for, and the fixed currency pair is correctly baked into the tool itself.

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 and scope: the official HKD/JPY reference rate from the ECB fixing. It further specifies the response content (rate date, derivation method, source attribution) so the agent can tell it apart from a generic conversion tool like 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?

Implied usage is clear from 'latest European Central Bank fixing' – this is for authoritative reference rates, not ad-hoc conversion. But it never states when to prefer it over the sibling pair tools, fx_latest, fx_timeseries, or fx_convert, and gives no exclusions.

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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