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Novarithm Agent Hub: trust and commerce checks

fx_chf_sgd

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

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 present, the description carries the full burden and does well: it discloses the x402 paid-access model ($0.002 USDC/call on eip155:8453), that output is sourced and deterministic rather than estimated, and that the response includes rate date, derivation method and attribution. It stops short of describing failure modes (source outage, stale fixing) or how peg-derived values differ materially in meaning.

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?

A single dense sentence plus a short qualifier, front-loaded with the pricing/payment tag and then the data semantics. Every clause carries information, though the bracketed payment prefix is visually noisy and could be separated from the substantive definition.

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 read tool with no output schema, the description explains the value returned (rate, rate date, derivation method, source attribution) and its provenance. Only freshness cadence and edge-case behavior when the fixing is unavailable are left implicit.

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 of 4 applies; the description correctly adds no parameter narrative and keeps focus on what the fixed pair returns.

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 (official CHF/SGD reference rate), the specific source (latest European Central Bank fixing) and the peg fallback, so the currency pair and origin are unambiguous among hundreds of fx_* siblings.

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?

It implies usage by describing the data as authoritative and deterministic, and mentions cost per call, but it never states when to prefer this over siblings such as fx_convert (for computed conversions) or fx_timeseries (for history), nor any exclusion such as when a peg-derived value is unsuitable.

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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