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Novarithm Agent Hub: trust and commerce checks

fx_eur_cve

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations present, the description does real work: it discloses the cost and payment protocol ('PAID $0.002 USDC/call, x402, eip155:8453'), the data provenance, the peg fallback path, and asserts 'deterministic, sourced, no estimate'. It stops short of failure modes or what happens when no fixing exists for the day, 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense sentence after the payment prefix, with the binding constraint (paid, x402) front-loaded and the data source, fallback behavior, and non-estimate guarantee packed in without filler. Every clause carries information.

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-argument tool with no output schema, the description usefully previews the returned components (rate date, method, source attribution) and the pricing gate. It does not state the response shape or field names, but given the simplicity of the tool that is a minor omission rather than a blocking one.

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 no parameter meaning for the description to add and the baseline of 4 applies. Nothing in the text conflicts 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 source — 'Official EUR/CVE reference rate: latest European Central Bank fixing' — and even handles the edge case of a pegged CVE. It does not explicitly distinguish itself from related siblings like fx_convert, fx_latest or fx_timeseries, relying on the pair name alone for that, which keeps it just short of 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 implied by 'reference rate' and 'official ECB fixing', so an agent can infer it is for looking up a published rate rather than converting an amount. There is no explicit when-to-use/when-not guidance and no pointer to fx_convert for arithmetic or fx_timeseries for history, leaving the agent to infer the boundary.

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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