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Novarithm Agent Hub: trust and commerce checks

fx_ron_sek

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

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 that the call is paid ($0.002 USDC via x402 on eip155:8453), that the data is deterministic and sourced rather than estimated, and what metadata accompanies the rate. It does not cover failure behavior (e.g., what happens on a non-payment or a missing fixing), which keeps it short of 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?

One dense sentence plus a bracketed cost note; every clause (payment terms, source, fallback to peg, method, attribution) adds information. The cost preamble leads rather than the purpose, which is slightly less front-loaded than ideal, but nothing is wasted.

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 supplies the essentials: source authority, method variants, date and attribution fields. Only the shape of the actual response and error/payment-failure outcomes are left unspecified.

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 has nothing to explain and the baseline is 4. The description correctly implies a parameterless call by fixing both currencies in the tool name.

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 official RON/SEK reference rate), its provenance (latest ECB fixing, or the official peg when SEK is pegged), and its scope. Against hundreds of sibling fx_<base>_<quote> tools, the pair is named explicitly, so an agent can select this one 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?

The description makes the use case obvious — fetch the authoritative RON/SEK rate — but never states when to prefer it over fx_convert, fx_latest, or fx_timeseries, nor any exclusion such as 'do not use for historical series'. Usage is implied rather than directed.

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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