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Novarithm Agent Hub: trust and commerce checks

fx_brl_sar

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

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, the description carries the full burden and does substantial work: it discloses the paid x402 payment model at $0.002 USDC per call on eip155:8453 (Base), the upstream authority (ECB), the derivation method (direct, cross via EUR, or peg-derived), and that results are deterministic with no estimation. That is exactly the behavioral context annotations would otherwise supply; only freshness/caching and error behavior are left unstated.

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 short qualifier; the payment banner is front-loaded so cost is visible before commitment, and the rate/source/method detail follows. Nothing is redundant, though the bracketed pricing tag and the method parenthetical make it denser than ideal for a single-purpose tool.

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?

There is no output schema and no annotations, so the description must carry source, method, dating, attribution, and cost — and it covers all five, which is unusually complete for this family. Only the concrete response shape (field names, units/quoting convention) is left unspecified, which is a modest gap given the absence of an output schema.

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 per-parameter meaning to add and the baseline of 4 applies. The description correctly requires no input to be described and instead spends its words on what the fixed pair returns.

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?

States a specific verb+resource: the official BRL/SAR reference rate, and pins down the exact source ('latest European Central Bank fixing') and fallback behavior ('official peg when SAR is pegged'). The currency pair is unambiguous and matches the tool name, so an agent knows exactly which rate it gets, though it never names a sibling (e.g. fx_convert or fx_timeseries) to contrast against.

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 only implied: the word 'latest' signals this is a spot/latest-rate tool rather than a historical series, and 'no estimate' hints at when not to substitute an approximation. There is no explicit when-to-use or when-to-prefer-an-alternative statement (fx_convert for conversion math, fx_timeseries for history), leaving routing to the agent's 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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