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Novarithm Agent Hub: trust and commerce checks

fx_dkk_usd

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

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 model ($0.002 USDC/call via x402 on eip155:8453), the data source, the cross-rate method, and that results are deterministic rather than estimated. It stops short of describing the payment flow (e.g. pre-funding USDC or verify_usdc_payment) or failure behavior when payment is absent.

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?

A single dense sentence with no filler, front-loaded with the pricing/payment metadata an agent needs before calling. The nested parenthetical about peg fallback and the method clause pack in a lot, but each element (source, date, method, attribution) is substantive.

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 covers what matters: source, fallback logic, returned fields (rate date, method, source attribution), and cost. It leaves the response shape and numeric precision implicit, which is a minor gap given no output schema exists to document them.

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 is 4; there is nothing for the description to disambiguate. The pair and source are fixed by the tool itself, and the description confirms that no inputs are needed.

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?

Names a specific resource (DKK/USD reference rate) with its exact provenance: the latest European Central Bank fixing, or the official peg when one applies. The pair is unambiguous from the name and the description adds the source and fallback rule, so an agent knows precisely which series this returns versus the hundreds of sibling pair tools.

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?

Implies usage through 'latest' (not historical) and 'no estimate' (deterministic official rate), which rules out some cases, but never names alternatives such as fx_convert for amount conversion, fx_timeseries for history, or fx_latest for multi-pair snapshots. The agent must infer routing from the pair name alone.

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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