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Novarithm Agent Hub: trust and commerce checks

fx_eur_cny

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose meaningful traits: a per-call price of $0.002 USDC via x402 on eip155:8453, an authoritative ECB source, and determinism with no estimates. It does not say how stale the fixing can be (weekends/holidays), whether results are cached, or what happens when no fixing exists, which matters for a paid call.

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?

A single dense sentence that front-loads the payment terms in brackets and then the substantive purpose, followed by a short clause on the returned fields. Every element carries information, though the stacking of cost, network, source, method and peg fallback in one sentence is slightly heavy.

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 lookup with no output schema, the description covers the essential output shape (rate, rate date, derivation method, source attribution) and the peg edge case. The remaining gap is freshness semantics — an agent cannot tell how current the 'latest' fixing is or when it refreshes.

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 nothing for the description to disambiguate beyond the fixed currency pair, which the title and description already pin down. Baseline of 4 applies.

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 resource with full qualification: the official EUR/CNY reference rate, sourced from the ECB fixing, with the peg fallback named. An agent can tell exactly what value this returns and how it differs from a generic conversion tool in the sibling list (fx_convert, fx_latest).

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?

There is no explicit when-to-use / when-not-to-use guidance and no named alternative such as fx_convert for arithmetic conversion or fx_timeseries for history. Usage is only implied by the currency pair in the name, which is adequate for a zero-parameter rate lookup but leaves the convert-vs-reference distinction to 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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