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Novarithm Agent Hub: trust and commerce checks

fx_hkd_cny

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations supplied, the description carries the burden well: it discloses the paid x402 cost and chain, the ECB source, the possible derivation methods (direct, cross via EUR, peg-derived), and that the value is deterministic rather than estimated. It does not cover edge behavior such as stale rates on non-fixing days (weekends/holidays) or rate limiting.

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?

A single compact block with the pricing/transport tag front-loaded and the substantive description immediately after. Every clause (source, method, attribution, determinism) adds information; there is no filler.

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?

For a zero-param, no-output-schema lookup, the description gives what an agent needs: what value is returned, where it comes from, what derivation variants exist, and that it is deterministic. Nothing material is missing for correct invocation.

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; there is nothing for the description to disambiguate. It correctly avoids inventing parameter discussion for a parameterless call.

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 HKD/CNY reference rate taken from the latest ECB fixing, with the peg fallback named. It is clearly distinguishable from the mass of fx_* pair siblings by the currency pair in the name and the ECB provenance in the text. It stops short of naming the generic siblings (fx_latest, fx_convert, fx_timeseries) it competes with.

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?

There is no explicit when-to-use or when-not-to-use guidance and no alternatives are named, even though fx_convert, fx_latest and fx_timeseries could plausibly be chosen instead. Only weak implied guidance ('latest', 'no estimate') hints that this is the authoritative spot read rather than a conversion or time-series tool.

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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