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Novarithm Agent Hub: trust and commerce checks

fx_cny_thb

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does well: it discloses the paid x402 access cost and chain (eip155:8453), the data source (ECB), the peg fallback behavior, and that results are deterministic rather than estimated. What it omits is freshness/latency (how stale a 'latest' fixing can be before the next publication) and error behavior when no fixing is available.

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?

A single sentence with the price/protocol tag front-loaded and the substantive content following immediately. Every clause earns its place — cost, source, fallback, output fields, and the determinism guarantee — with no filler.

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, so the description must describe the return, and it does list rate date, derivation method, and source attribution. For a no-parameter FX endpoint the main missing piece is the quote direction and the fixing publication cadence, both of which an agent would otherwise have to discover by calling it.

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 parameter meaning to add; baseline 4 applies. Schema coverage is reported at 100% and the empty object schema confirms nothing is required from the caller beyond the payment header described in the text.

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 verb: the official CNY/THB reference rate, described as the latest ECB fixing with peg fallback. It is clearly not fx_convert or fx_timeseries, though it never names a sibling to reinforce that distinction. The quotation direction (THB per CNY vs CNY per THB) is not stated, which leaves one ambiguity in an otherwise precise purpose.

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?

Use is implied by the framing 'reference rate' and 'deterministic, sourced, no estimate' — an agent can infer this is for official fixes rather than conversions. There is no explicit when-to-use or when-not-to-use guidance, and the natural alternatives (fx_convert for arbitrary conversion, fx_timeseries for history, fx_latest for cross-pair snapshots) are not mentioned despite being direct substitutes.

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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