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Novarithm Agent Hub: trust and commerce checks

fx_nzd_sek

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

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 paid cost ($0.002 USDC/call), the x402 payment protocol, the chain (eip155:8453), the upstream source (ECB), the peg fallback path, and that the value is deterministic and not estimated. Remaining gaps are operational details such as behavior on weekends/holidays when no ECB fixing is published.

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?

Effectively two sentences, with the payment metadata bracketed up front and the substantive definition following. The parenthetical listing of rate date, method, and attribution is dense but each element adds real information; no filler prose.

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-parameter read tool with no output schema, the description supplies what an agent needs: the source, the fallback rule, and the components of the returned payload (rate, date, derivation method, attribution) plus the payment requirement. Nothing material to calling it correctly is missing.

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 disambiguate and the baseline of 4 applies. The description correctly implies a parameterless, fixed-pair invocation.

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: 'Official NZD/SEK reference rate: latest European Central Bank fixing', naming the exact currency pair and the data source. It does not, however, differentiate itself from nearby siblings like fx_convert, fx_latest, or fx_timeseries, which an agent could plausibly reach for instead.

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 pair-specific name and the 'latest fixing' framing; there is no explicit 'use this when you need the spot reference rate for NZD→SEK' or 'use fx_convert for arithmetic conversion'. The alternative tools that exist among the siblings go unmentioned, leaving the selection decision to inference.

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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