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Novarithm Agent Hub: trust and commerce checks

fx_nok_sgd

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does well: it discloses the price and payment protocol ($0.002 USDC/call, x402, eip155:8453), the data source (ECB fixing), the fallback rule (peg-derived when SGD is pegged), the derivation method (direct, cross via EUR, or peg), and that values are deterministic rather than estimated. What it omits is response shape specifics (numeric precision/quote convention) and behavior when no fixing exists, e.g. weekends and ECB holidays.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the payment tag an agent needs before deciding to spend, then the substantive definition. Every clause adds information — source, fallback, method, and the 'no estimate' guarantee — with no filler.

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, no-output-schema tool this is close to complete: source, method, fallback, determinism and the fields returned (rate date, method, source attribution) are all stated. The remaining gap is freshness semantics — how recent the 'latest' fixing is and what is returned on non-publication days — which matters for an FX reference rate where ECB does not publish daily.

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 of 4 applies; there is nothing to disambiguate. The description does implicitly fix the currency pair direction in the name rather than in arguments, which is the right call for a zero-arg tool.

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 names a specific resource (the official NOK/SGD reference rate) and its provenance (ECB fixing, or the official peg when SGD is pegged), which is far more precise than the bare tool name. It does not explicitly contrast itself with near-identical siblings such as fx_sgd_nok (the inverse pair), fx_latest, fx_convert or fx_timeseries, so an agent still has to infer that this is the single-pair spot lookup.

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: 'Official ... reference rate' and 'Deterministic, sourced, no estimate' signal that this is for authoritative reference values rather than conversions or historical series, which nudges toward fx_convert/fx_timeseries for those jobs. There is no explicit when-to-use/when-not statement, no mention of the inverse pair, and no guidance on how it differs from fx_latest.

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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