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Novarithm Agent Hub: trust and commerce checks

fx_aud_bhd

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does well: it discloses the price ($0.002 USDC), the x402 payment flow, the network (eip155:8453), data provenance (ECB / official peg), and that the result is deterministic with no estimation. It does not cover error behavior or failure modes for pegged currencies, which keeps it short of 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.

Conciseness5/5

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

The payment/billing prefix is front-loaded and bracketed so it can be skipped, followed by a dense but well-ordered sentence covering source, fallback, returned metadata, and determinism. Every clause adds distinct 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-parameter paid lookup with no output schema, the definition covers cost, payment protocol, source, methodology, and the fields returned (rate, date, method, attribution). It stops short of describing the concrete response envelope or failure cases, a minor gap for this complexity level.

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 the baseline is 4 and no additional parameter explanation is required or possible. Nothing in the description misleads about inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the exact resource (AUD/BHD reference rate), the verb/action (latest ECB fixing), and the fallback data source (official peg when BHD is pegged). The currency pair in the tool name is confirmed and elaborated, so an agent can place this precisely among the hundreds of fx_* siblings.

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 data described (point-in-time official reference rate), but there is no explicit when-to-use or when-not-to-use guidance relative to siblings like fx_convert, fx_latest, or fx_timeseries. An agent must infer that this returns a single current rate rather than a conversion or a series.

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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