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Novarithm Agent Hub: trust and commerce checks

fx_sek_nzd

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

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, the description carries the full burden and does well: it discloses the paid x402/eip155:8453 access model, the $0.002 USDC per-call cost, the upstream authority (ECB), the cross-via-EUR or peg-derived method, and that results are deterministic with no estimation. It does not cover failure modes, staleness limits, or caching, which keeps it below a 5.

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?

One dense sentence that front-loads both the payment terms and the data provenance with no filler. The bracketed billing prefix is slightly noisy but genuinely decision-relevant for an agent choosing a paid tool.

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, the description supplies enough: what is returned (rate, rate date, method, source attribution) and under what conditions (fixing vs peg). Only error/empty-result behavior is unaddressed, which is a minor gap given the simplicity.

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 meaning to add; the schema is empty and consistent with the no-input design. Baseline 4 applies.

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?

States a specific resource (Official SEK/NZD reference rate), the exact source (latest European Central Bank fixing) and even the fallback case (official peg when NZD is pegged). An agent can tell this apart from fx_convert, fx_latest or fx_timeseries because the pair and provenance are named explicitly.

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?

The fixed currency pair and 'reference rate' framing imply when to use it (single-pair, official fixing rather than conversion), but no sibling is named and there is no explicit 'use fx_convert instead for arbitrary pairs' routing. Usage is inferable rather than stated.

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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