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Novarithm Agent Hub: trust and commerce checks

fx_isk_eur

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does so well: it discloses the paid x402 cost ($0.002 USDC on eip155:8453), the authoritative source, the peg fallback behavior, the method disclosure, and asserts determinism with no estimation. It omits publication cadence/freshness and error behavior when no fixing exists.

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?

Compact and front-loaded: payment terms first, then the resource, then the returned fields. Every clause adds information, though the closing 'Deterministic, sourced, no estimate' partially restates what the source attribution and method clauses already imply.

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 annotations and no output schema, the description must justify the response shape itself, and it does by enumerating rate date, method and source attribution. The remaining gap is data freshness, which matters for a daily-published fixing on a paid endpoint.

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?

Zero parameters, so no parameter meaning needs to be conveyed; the baseline is 4. The description instead uses its space to explain what the response contains, which is more valuable here.

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 (ISK/EUR reference rate), its authoritative source (ECB fixing) and the exact figures returned. It is clearly distinguishable from unrelated siblings, though it never explicitly distinguishes itself from fx_eur_isk (inverse) or fx_convert/fx_latest in the family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not-to-use guidance and no mention of alternatives such as fx_convert, fx_timeseries or fx_eur_isk. The agent must infer that this is the single-pair spot lookup purely from the tool name.

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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