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Novarithm Agent Hub: trust and commerce checks

fx_qar_jpy

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

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 disclosure burden and does well: it states the paid x402 cost and chain, identifies ECB as the source, explains the peg fallback, and promises deterministic, sourced output with no estimates. Missing are operational details such as update cadence, holiday behavior, and error/response shape, but the core behavioral profile is clear.

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?

The description is a compact single-sentence block that front-loads payment, then purpose, then supporting attributes. Every clause contributes, though the bracketed payment prefix is dense and slightly competes with the primary purpose. It remains efficient and free of filler.

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 simple pair-specific rate lookup with no input parameters and no output schema, the description supplies the pair, source, fallback, returned components, and cost. It could be more complete by explicitly stating quotation direction and units, for example JPY per QAR, and freshness cadence, but the essential context is present.

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 input schema has zero parameters, so there is no parameter semantics to explain; baseline for zero-parameter tools is 4. The description does not need to compensate for schema coverage, which is already 100%.

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?

The description names the exact resource, the QAR/JPY official reference rate, and specifies the ECB fixing source, the official peg fallback, and the returned components: rate date, method, and source attribution. This is more specific than the bare tool name and clearly differentiates it from the many fx_* siblings by pinning both the currency pair and the authoritative data source.

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 identifying the tool as the official ECB QAR/JPY reference rate and noting that it is deterministic and sourced, which tells an agent it is for authoritative rate lookup. However, it never names alternatives such as fx_convert, fx_latest, or fx_timeseries, nor states when not to use this pair-specific tool. The guidance is therefore implied rather than explicit.

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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