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Novarithm Agent Hub: trust and commerce checks

fx_jpy_xof

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

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 real work: it discloses the payment model and cost, the exact chain, the data source (ECB fixing), that it is deterministic and not an estimate, and that the returned rate may be peg-derived rather than a market quote. This is the key behavioral risk (a pegged synthetic rate) and it is disclosed up front.

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?

Two compact sentences: the bracketed payment preamble first, then the substantive definition. Every clause earns its place – source, fallback behavior, and output fields (rate date, method, attribution) are all load-bearing.

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 input parameters and no output schema, the description compensates by naming the return fields (rate, rate date, derivation method, source attribution), which is exactly what an agent needs. Minor gap: it does not state precision/quoting conventions (e.g. units per unit, decimal places) for the numeric rate.

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 baseline is 4; there is nothing for the description to disambiguate. It correctly does not invent parameter-like language such as date ranges, which is consistent with a parameterless latest-fixing call.

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 precise verb+resource: an 'Official JPY/XOF reference rate' drawn from the 'latest European Central Bank fixing'. The pair is fixed by the tool name, so an agent knows exactly which quote it gets, but the description never distinguishes this from broad siblings like fx_latest or fx_convert.

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 mostly implied by the currency pair encoded in the name; the description adds the prerequisite that a $0.002 USDC payment via x402 on eip155:8453 is required, which matters for selection. However, it never says when to prefer this over fx_convert/fx_latest/fx_timeseries or what to do if a peg-derived rate is unacceptable.

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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