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Novarithm Agent Hub: trust and commerce checks

fx_sgd_eur

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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 does disclose unusually useful facts: the paid x402/eip155:8453 access model, the ECB source, determinism, and that the method may be direct, cross via EUR, or peg-derived. What is missing is failure and staleness behavior, such as what is returned on weekends, holidays, or when no fixing has published, and whether the rate is ever cached.

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, but it is front-loaded: price and access protocol first, then the resource, then the returned fields and the guarantees. The payment bracket is meta-information rather than purpose, yet it is short and materially useful before a paid call.

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 the source, the unit pair, the fallback to a peg, the method and the attribution fields. The remaining gaps, quote direction conventions (SGD per EUR or the reverse) and freshness on non-publication days, are the only things an agent could still get wrong.

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, which is the baseline-4 case; nothing needs documenting on the input side. The description's mention of rate date, method and source attribution is genuinely informative about the response, though the schema does not carry it.

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?

The description names a specific verb+resource: the official SGD/EUR reference rate, sourced from the ECB fixing, with the peg fallback called out. That is far more specific than the sibling names alone, which only encode the pair. It stops short of differentiating from the inverse sibling fx_eur_sgd or from fx_convert/fx_latest, so an agent must still infer direction from the tool name.

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?

Saying it returns the official ECB fixing implies when to use it, i.e. when a regulatory-grade reference rate is required rather than a live conversion. However, it never names an alternative (fx_eur_sgd for the reciprocal, fx_convert for arithmetic, fx_timeseries for history) or states when not to use it, which matters in a family of hundreds of near-identical fx pairs.

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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