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Novarithm Agent Hub: trust and commerce checks

fx_dkk_aud

[PAID $0.002 USDC/call, x402, eip155:8453] Official DKK/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_dkk_aud"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
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 it delivers real behavioral context: paid x402 call at $0.002 USDC on eip155:8453, deterministic sourced data with 'no estimate', and disclosure that the response includes rate date, derivation method and source attribution. It stops short of error, stale-rate or rate-limit 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?

Two sentences, front-loaded with the payment gate and then the resource. Every clause earns its place: source, peg fallback, returned metadata and the no-estimate guarantee are all decision-relevant.

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?

With no output schema, the description must carry the return-value story, and it names rate date, method and attribution — enough to use the result correctly. A low-complexity zero-param tool doesn't need much more, though the actual response shape and stale/holiday behavior remain unspecified.

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?

Zero parameters, so the baseline applies; the description correctly adds no parameter narrative and instead spends the space on provenance. Nothing misleading is introduced.

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 verb+resource ('Official DKK/AUD reference rate: latest European Central Bank fixing') and even covers the edge case (official peg when AUD is pegged). The currency pair in the name plus the stated source and derivation method let an agent distinguish it from the other fx_* siblings without opening a schema.

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 by the pair and the ECB source, and the description clarifies this is a reference fixing rather than a live quote. But it never names alternatives such as fx_convert, fx_latest or fx_timeseries, nor states when to prefer this over them (e.g. historical series vs single latest rate).

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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