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Novarithm Agent Hub: trust and commerce checks

fx_jpy_cve

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the paid x402 gate ($0.002 USDC, eip155:8453), the data source and method, and that the rate is deterministic with no estimation, which is genuinely useful. It omits freshness cadence (ECB publication days), weekend/holiday behavior, and failure modes when no fixing exists, which matter for a rate whose value depends on recency.

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 compact sentences, with the price/payment tag front-loaded and the data provenance immediately after. The bracketed payment header is dense but is the kind of cost information an agent should see before calling.

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 reference-rate lookup with no output schema, the description explains the returned fields (rate, rate date, derivation method, source attribution) well enough to use the result. The remaining gap is freshness semantics and what happens outside ECB publication days.

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 schema has zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. It correctly signals that the pair is fixed by the tool rather than passed as an argument.

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 (JPY/CVE reference rate) and source (European Central Bank fixing, with peg fallback), so an agent knows exactly what value comes back. It stops short of distinguishing itself from the hundreds of sibling fx_* pairs or from fx_convert/fx_latest, and the direction convention (JPY base, CVE quote) is only implied by the name, not stated.

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: fetch a single official reference rate for this pair. There is no explicit when-to-use versus fx_convert (arbitrary amounts) or fx_timeseries (historical), and no note on when the peg branch applies, so the agent must infer routing from the name alone.

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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