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Novarithm Agent Hub: trust and commerce checks

fx_sek_huf

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations at all, the description carries the full behavioral burden. It does disclose pricing and payment mechanics, the data provenance, the returned fields (rate date, method, source attribution) and determinism, which is valuable; but it omits how payment is settled, what happens on non-fixing days (weekends/holidays), and failure behavior.

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 dense sentences with the payment/network tag front-loaded and the substantive purpose stated immediately after. Every clause adds information (source, fallback, returned fields, determinism), though the stacked parentheticals make it slightly heavy to parse.

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 lookup tool this is nearly complete: source, fallback logic, returned fields and cost are all covered. Freshness cadence and error behavior on non-publishing days are the only notable omissions.

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 and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly makes no attempt to invent parameter guidance.

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 the exact resource (SEK/HUF reference rate), the data source (European Central Bank fixing) and the fallback (official peg when HUF is pegged), so an agent knows precisely what value it gets. It does not, however, contrast itself with siblings like fx_convert or fx_latest, which is the one remaining ambiguity in an otherwise specific statement.

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: the presence of a per-call price ('PAID $0.002 USDC/call') and the 'no estimate' framing tell an agent this is for authoritative spot reference rates, not conversions. There is no explicit when-to-use versus fx_convert/fx_timeseries guidance and no exclusion about historical dates, which is a real gap for this family.

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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