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Novarithm Agent Hub: trust and commerce checks

fx_jpy_sar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full burden, and it delivers the most decision-critical facts: cost ($0.002 USDC/call via x402 on eip155:8453), data source (ECB fixing or official peg), derivation method, and that the result is deterministic rather than an estimate. It stops short of stating refresh cadence or staleness bounds for a daily fixing, which is the one operational detail an agent would still want.

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?

Two dense sentences with the payment terms bracketed up front where an agent sees them before deciding to call. Every clause adds information; nothing is redundant, though the payment metadata slightly crowds the substantive first sentence.

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 does the work of describing the response payload (rate date, method, source attribution) and its provenance guarantees. The remaining gap is quote-direction convention (units of SAR per JPY vs the inverse), which matters for an FX pair and is not stated anywhere.

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 schema coverage is effectively complete and there is nothing for the description to disambiguate. Baseline for a no-parameter tool applies cleanly.

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?

Names a specific resource and verb: the official JPY/SAR reference rate, explicitly the latest ECB fixing or peg-derived value. The pair is unambiguous, but the description never distinguishes itself from near-identical siblings such as fx_convert, fx_latest, or fx_timeseries, so an agent must infer the boundary from the name alone.

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 only implied: 'latest ECB fixing' signals a spot reference-rate lookup rather than a conversion or historical series, and the paid prefix signals a metered call. There is no explicit statement of when to prefer fx_convert for amount conversion or fx_timeseries for history, and no when-not-to-use guidance.

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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