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Novarithm Agent Hub: trust and commerce checks

fx_xaf_huf

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden and does well: it discloses the pay-per-call cost ($0.002 USDC, x402, eip155:8453), the upstream source (ECB), the derivation method (direct, cross via EUR, or peg-derived) and the freshness guarantee (latest fixing, no estimate). It does not describe failure behavior or what happens if no fixing exists for the pair, which is the main remaining gap.

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 that front-loads the payment terms and then the data guarantees; nothing is padded or repeated. It is dense to the point of being slightly run-on, packing pricing, source, method and quality claims into one clause chain.

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?

There is no output schema, so the description must describe the return payload, and it does: rate, rate date, method and source attribution. Combined with the pricing and sourcing disclosure, an agent has enough to call it and interpret the result, with only error/staleness edge cases unaddressed.

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 nothing for the description to disambiguate and the baseline is 4. The pair is encoded in the tool name itself, which is consistent with the empty schema.

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?

The description names a specific resource and verb: the official XAF/HUF reference rate, its date, derivation method and source. That is clearly distinguishable from the sibling conversion and timeseries tools, though it never names an alternative such as fx_convert or fx_latest to sharpen the boundary.

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: 'official ECB fixing', 'deterministic, sourced, no estimate' signals this is for authoritative reference rates rather than ad-hoc conversion. There is no explicit when-to-use/when-not or pointer to a sibling for conversion or historical series.

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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