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Novarithm Agent Hub: trust and commerce checks

fx_cny_huf

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it does well: price ($0.002 USDC), payment protocol (x402, eip155:8453), data provenance (ECB), tie-handling on the rate date, method disclosure, and a determinism guarantee. It stops short of stating refresh cadence or failure/payment-error behaviour, which keeps it off 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?

Two dense sentences with the paid-invocation cost front-loaded ahead of the data description, which is the right order because it determines whether an agent can even call it. The closing 'Deterministic, sourced, no estimate' is slightly promotional but still carries signal.

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 read tool with no output schema, the description covers provenance, fallback semantics, required payment and the fields an agent will get back (rate, date, method, attribution). Only the exact response shape and update cadence are left implicit.

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 correctly implies the pair is fixed by the tool name and nothing is required from the caller.

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?

States a specific verb and resource: the official CNY/HUF reference rate from the latest ECB fixing. It also names the fallback case (official peg when HUF is pegged), which lets an agent distinguish this from an estimated or market-rate conversion.

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?

The phrase 'deterministic, sourced, no estimate' implies this is the tool to pick when an official reference rate is required rather than a computed or converted value, but the description never names an alternative such as fx_convert, fx_latest or fx_timeseries. With hundreds of sibling tools, an explicit 'use this instead of X when...' would have removed the inference step.

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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