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Novarithm Agent Hub: trust and commerce checks

fx_xof_php

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

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 behavioral load and does well: it discloses cost and payment rail ('$0.002 USDC/call, x402, eip155:8453'), the authoritative source, the fallback behavior for pegged currencies, the method field, and asserts the result is deterministic and non-estimated. What is missing is operational behavior — freshness/update cadence of the fixing, and failure modes when a fixing is unavailable.

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 compact sentences, front-loaded with the payment metadata and then the resource definition, with zero filler. The second sentence is heavily parenthetical (fixing or peg, method enumeration, source attribution), which slightly hurts scannability but every clause still carries information.

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 usefully enumerates what the response contains (rate date, method, source attribution), which is exactly what an agent needs to interpret the result. It falls short only on freshness/update timing and on explicit routing to related siblings like fx_convert and fx_timeseries.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4, but the description adds no meaning here because there is nothing to parameterize — the pair and source are baked in. It correctly implies no inputs are needed, yet offers no note on whether anything (date, amount) can or cannot be passed.

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?

States a specific resource ('Official XOF/PHP reference rate') with the source of truth (ECB fixing) and an explicit fallback (official peg when PHP is pegged). Because the pair is named directly, an agent can select it from the several hundred sibling fx_<base>_<quote> tools without opening the schema.

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 implied rather than stated: it is clearly the rate for one specific pair, and the peg note hints at the PHP case. However, it never tells the agent when to prefer it over fx_latest, fx_timeseries, or fx_convert, nor that conversions should route to fx_convert. The when-not condition is absent.

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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