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Novarithm Agent Hub: trust and commerce checks

fx_cny_zar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
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 disclose the paid cost ($0.002 USDC/call, x402, eip155:8453), the data source (ECB fixing), the fallback behavior when ZAR is pegged, and the method variants (direct, cross via EUR, peg-derived). It does not cover update cadence, staleness, or failure behavior when no fixing exists, so it is strong but not complete.

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?

Front-loads the payment cost in brackets, then the core resource, then the return contents. It is a single dense sentence plus a short closing clause; every part carries information, though the mixing of pricing metadata with the purpose statement is slightly awkward.

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?

There is no output schema and no input schema, so the description must describe the return, and it does: rate date, method, and source attribution are all named. For a zero-parameter lookup tool this is close to complete, with only freshness/update timing left unstated.

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 there is nothing for the description to clarify beyond the implicit pair, and it correctly adds no parameter noise. Baseline for a 0-param tool applies.

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?

"Official CNY/ZAR reference rate: latest ECB fixing" states a specific resource and source, which is enough to distinguish it from sibling pairs by name alone. It does not explicitly contrast with aggregators like fx_latest, fx_convert, or fx_timeseries, so it stops short of full sibling differentiation.

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 only implied by the currency pair embedded in the tool name; the description never says when to pick this over fx_convert, fx_timeseries, or fx_zar_eur. It does say it returns a deterministic, sourced figure with no estimate, which hints at audit/reference use cases, but no alternatives or exclusions are 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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