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Novarithm Agent Hub: trust and commerce checks

fx_thb_jpy

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses the $0.002 USDC per-call cost, the x402 payment scheme, the chain (eip155:8453), the data source (ECB), the peg fallback path, and that the value is deterministic with no estimation. It omits freshness semantics such as how often the fixing updates and what happens if payment is not settled.

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?

Two compact sentences: pricing/protocol metadata up front, then purpose, source, and return contents. Every clause adds information and nothing is redundant.

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, zero-annotation tool with no output schema, the description covers source, fallback behavior, and the shape of the returned fields. A note on fixing cadence or staleness would make it fully self-sufficient.

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. The description implicitly confirms this by fixing both currencies in the tool itself, so an agent knows no pair arguments are needed.

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 scope: the THB/JPY reference rate sourced from the ECB fixing, including peg fallback. It clearly states what is returned (rate, rate date, method, source attribution). It does not explicitly position itself against fx_convert or fx_latest, so sibling differentiation rests mostly on the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not guidance. The description never mentions that fx_convert should be used when an amount must be converted, or that fx_timeseries covers historical series, leaving the agent to infer selection from the pair 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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