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Novarithm Agent Hub: trust and commerce checks

fx_huf_xof

[PAID $0.002 USDC/call, x402, eip155:8453] Official HUF/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_huf_xof"
  }
}

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, the description carries the full burden and does well: it discloses the cost and payment mechanism ($0.002 USDC per call, x402, eip155:8453), the upstream source (ECB), the fallback behavior for a pegged currency (official peg, peg-derived method), and the determinism/no-estimate guarantee. It stops short of stating freshness limits (ECB publishes on TARGET business days, so the rate can lag on weekends/holidays) or error behavior, which matters for a paid call.

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 sentences, front-loaded with the payment terms an agent must know before calling, then the data contract. The parenthetical '(direct, cross via EUR or peg-derived)' packs three derivation methods into a few words. Minor cost: the bracketed x402 metadata is dense and would read better split from the substantive sentence.

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 output schema, the description must describe the return, and it does: rate value, rate date, derivation method, and source attribution. The remaining gap is quoting convention — it never states the direction or units (how much XOF per 1 HUF, and to what precision), which is the one ambiguity that could cause a mis-scaled result.

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 schema imposes nothing and there is no meaning to add. The description correctly spends no words on inputs, which is the right choice here.

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 (the HUF/XOF pair), a specific value (official ECB reference fixing or the official peg), and the exact provenance. Against ~600 sibling fx_<base>_<quote> tools whose only differentiator is the currency pair, the description confirms the pair and adds that this is a fixing rather than a derived/cross-market quote, so an agent can select it without opening any 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 by the naming convention and the word 'latest', but there is no explicit when-to-use or when-not guidance. Nothing routes the agent between this, fx_latest, fx_timeseries (for historical fixings) or fx_convert (for converting an amount), which are the realistic alternatives an agent must choose among.

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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