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Novarithm Agent Hub: trust and commerce checks

fx_huf_jpy

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

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 burden and does substantial work: it discloses the paid model ($0.002 USDC/call via x402 on eip155:8453), the authoritative source (ECB), the fallback behavior when a currency is pegged, the returned metadata (rate date, derivation method, source attribution), and that the result is deterministic with no estimation. Gaps remain around rate staleness on non-TARGET business days and whether the call fails or returns the prior fixing, which is why it is not a 5.

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?

The definition is a single dense sentence that front-loads the cost and protocol tag before the substantive description, so an agent sees the payment requirement immediately. Every clause adds information (source, peg fallback, returned fields, determinism) rather than filler. The bracketed pricing prefix is slightly meta but still earns its place for a pay-per-call endpoint.

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-annotation, no-output-schema tool, the description covers the essentials an agent needs: what the number represents, who publishes it, how it is derived, what metadata accompanies it, and what it costs. The notable omission is freshness semantics — whether weekend or holiday calls return the previous fixing — which matters for a reference-rate tool used in pricing or reconciliation.

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 of 4 applies. The description correctly implies the pair and rate are fully determined by the endpoint itself, so no parameter guidance is needed or expected.

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 concrete resource (official HUF/JPY reference rate) and its provenance (latest ECB fixing, or the official peg if JPY is pegged), so an agent knows exactly what value it retrieves. The currency pair is carried by the tool name, and the description reinforces it rather than restating it. It does not explicitly contrast itself with related siblings such as fx_latest, fx_timeseries or fx_convert, which is the only thing keeping it from a 5.

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: the phrase 'latest European Central Bank fixing' signals a current spot reference rate rather than a historical series or a conversion, which implicitly steers away from fx_timeseries and fx_convert. There is no explicit statement of when to use this versus those siblings, and no stated prerequisites beyond the payment line. An agent can infer the fit, but nothing is spelled out.

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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