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Novarithm Agent Hub: trust and commerce checks

fx_brl_jpy

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations at all, the description carries the full burden and does substantial work: it discloses a cost and payment rail ($0.002 USDC per call, x402, eip155:8453), the data provenance (ECB fixing, or an official peg when JPY is pegged), the derivation method (direct, cross via EUR, peg-derived), and that values are deterministic and never estimated. Gaps remain around update cadence, caching/staleness tolerance, and failure modes, so not 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?

It is a single dense sentence with the payment qualifier bracketed up front and the substance (rate, date, method, source) enumerated afterward, so nothing is wasted. It is tightly packed — the derivation-method clause is arguably more detail than a selection decision needs — but front-loading and structure are good.

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 covers the return payload fields (rate, rate date, method, source attribution) plus cost and provenance, which is close to everything an agent needs to call it and interpret the result. Only freshness/update-cadence and error behavior are unaddressed.

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 input schema has zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly implies a no-argument, fully-determined lookup for a fixed currency pair.

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 ('Official BRL/JPY reference rate') and the specific verb-like action (return the latest European Central Bank fixing), so an agent knows precisely which pair and which vintage of data it gets. It does not explicitly contrast itself with pair-adjacent siblings such as fx_jpy_brl (inverse), fx_latest, or fx_timeseries, which is the only thing keeping it off 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 the pair-specific name rather than stated: the agent can infer this is the tool for a BRL→JPY spot reference, but nothing says when to prefer it over fx_convert, fx_latest, or fx_timeseries, nor when not to use it. The bracketed payment notice does give a real precondition (a paid x402 call), which is more than pure name inference.

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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