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Novarithm Agent Hub: trust and commerce checks

fx_dkk_sar

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

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, the description carries the full burden and does well: it discloses the paid gate and price ([PAID $0.002 USDC/call, x402, eip155:8453]), the authoritative source, the derivation method (direct, cross via EUR, or peg-derived), and that output is deterministic and non-estimated. It stops short of covering failure modes such as holiday/weekend fixings or stale-rate behavior.

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?

One dense sentence plus a bracketed cost/network prefix; the payment and provenance facts are front-loaded and every clause (source, method, date, attribution, no estimate) carries information. Nothing is redundant.

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, output-schema-less tool, the description effectively enumerates the return payload (rate, rate date, method, source attribution) and the access cost. The remaining gap is edge-case behavior: what happens on non-fixing days or when the SAR peg governs instead of an ECB cross.

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 schema semantics to add beyond the fixed currency pair encoded in the name. Baseline for a parameterless tool applies, with no misleading implied inputs.

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 concrete resource ('Official DKK/SAR reference rate') and the specific source ('latest European Central Bank fixing'), so an agent knows exactly which pair and which publisher it is getting. It does not explicitly contrast itself with generic siblings such as fx_latest, fx_timeseries, or fx_convert, which keeps it from a 5.

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 implied rather than stated: 'latest ... fixing' signals a current spot reference rate rather than a historical series, implicitly steering away from fx_timeseries, and 'no estimate' hints it is preferable to modelled rates. Nothing states when NOT to use it, nor names an alternative for conversion or history.

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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