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Novarithm Agent Hub: trust and commerce checks

fx_czk_aed

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

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 flow ($0.002 USDC/call on eip155:8453), the data provenance (ECB fixing or official peg), the derivation method (direct, cross via EUR, peg-derived), and that the result is deterministic with no estimation. It does not cover failure/error behavior or staleness handling if no fixing is available, 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 the payment tag and then the data substance. The parenthetical about the peg is slightly awkward but earns its place by covering the AED special case; there is no filler or repetition.

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 tells the agent what comes back (rate, rate date, method, source attribution) plus cost and provenance. The main remaining gap is the exact response shape and units/quoting convention, which the description only alludes to.

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. It correctly implies the pair is fixed by the tool identity rather than passed as an argument.

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-and-resource: 'Official CZK/AED reference rate' with the exact source (European Central Bank fixing) and a fallback rule for the pegged case. Within the huge fx_* sibling family, the pair is named explicitly in both name and description, so an agent can distinguish it from fx_convert, fx_latest and fx_timeseries 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 name and the word 'latest' (you call it when you want the current CZK/AED fixing), but there is no explicit when-to-use versus fx_convert (which would compute a cross-rate) or fx_latest / fx_timeseries. The agent must infer that this returns a single sourced spot fixing rather than a conversion or a series.

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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