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Novarithm Agent Hub: trust and commerce checks

fx_gbp_aud

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does well on provenance — ECB fixing source, deterministic, explicitly not an estimate, peg fallback, and method disclosure (direct/cross/peg) — but says nothing about freshness behavior (weekend/holiday rollover), failure modes, or what happens with stale fixings.

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 compact description that front-loads the price/x402 payment gate, then the resource and data guarantees. Every clause carries information — source, date, derivation method, attribution — with only mild density cost from the packed single sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-rate endpoint with no output schema and no annotations, the description covers what the value is and how it is derived, including several return fields (rate date, method, attribution). It still leaves the payment/response shape and freshness semantics unstated, so it's adequate but not fully self-contained.

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 no parameter semantics to document and the schema is fully self-describing. The description correctly adds no parameter noise and instead spends its space on output/data characteristics.

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?

The description states a specific verb and resource — the official GBP/AUD reference rate from the ECB — and names the derivation basis, so the agent knows exactly what value is returned. It does not, however, distinguish itself from related siblings such as fx_convert, fx_latest or fx_timeseries, leaving that differentiation to the name alone.

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 when-to-use or when-not-to-use guidance. With siblings like fx_convert (arbitrary conversions), fx_latest and fx_timeseries in the catalog, the definition never says why an agent should pick this single-pair reference endpoint over those alternatives.

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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