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Novarithm Agent Hub: trust and commerce checks

fx_aed_czk

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

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 provided, the description carries the full burden and does well: it discloses the paid x402 micropayment ($0.002 USDC, eip155:8453), the authoritative source, the derivation methods (direct, cross via EUR, peg-derived), and that the response carries a rate date and attribution. It does not cover failure modes, staleness/holiday behavior, or what the payload looks like beyond the listed fields.

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 compact sentences plus the bracketed cost header. Cost and protocol are front-loaded where an agent will see them first, then provenance and determinism follow. No redundant restatement of the tool name or title.

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 supplies the pair, the source, the derivation method, the determinism guarantee, and the payment model — essentially everything needed to call it and interpret the answer. The remaining gap is return-field detail (types/format of rate and date), which is only partially implied.

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 input parameters, so the baseline of 4 applies. The description correctly adds no parameter commentary and instead explains the semantics of the returned values (rate date, method, source attribution), which is the relevant semantic content for a no-arg tool.

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 the specific resource (AED/CZK reference rate) and the specific source (latest European Central Bank fixing), including the peg fallback and derived-method caveat. An agent can identify the exact pair and provenance without opening anything. It does not name a sibling such as fx_convert or fx_latest to contrast against, so it stops short of 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?

"Latest ... fixing" implies the use case (need the current official reference value rather than a computed conversion), and the payment header tells the agent a cost is incurred per call. However, there is no explicit when-to-use/when-not, no pointer to fx_convert or fx_timeseries for conversion or history, and no statement that this returns a single pair rather than a cross-rate table.

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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