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Novarithm Agent Hub: trust and commerce checks

fx_jpy_chf

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

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, the description carries the full burden and does reasonably well: it discloses the paid x402 flow, the $0.002 USDC price on eip155:8453, the ECB as authoritative source, and that values are deterministic and non-estimated. It does not state staleness behaviour (ECB publishes on TARGET business days only, so weekends/holidays reuse the prior fixing) or what happens if no fixing is available.

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?

A single dense sentence with the payment terms front-loaded in a bracket so callers see the cost before anything else. Every clause adds information — resource, source, derivation method, determinism — with no 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 zero-parameter, zero-annotation tool with no output schema, the description covers source, price, response fields, and reliability characteristics. The remaining gap is freshness semantics and the absence of any routing to the conversion or time-series siblings in a catalog of hundreds of near-identical fx_* tools.

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 there is no parameter semantics to document; the baseline of 4 applies. No misleading parameter hints are present.

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 a specific verb+resource: the latest ECB official JPY/CHF reference rate, plus the downstream metadata (rate date, derivation method, source). The pair is unambiguous from the name. It stops short of naming siblings such as fx_convert or fx_latest, so an agent must infer that this tool returns a single pair's fixing rather than performing conversions.

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 — fetch a JPY/CHF reference rate. The paid cost line gives useful selection signal (an agent may prefer a free or multi-pair tool if one exists), but there is no explicit when-to-use/when-not guidance and no pointer to fx_convert for arbitrary conversion or fx_timeseries for history.

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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