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Novarithm Agent Hub: trust and commerce checks

fx_jpy_zar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations at all, the description carries the full load and does so well: it discloses the price ($0.002 USDC/call), the payment protocol and network (x402, eip155:8453), the data authority (ECB), the fallback behavior when ZAR is pegged, and the guarantee of determinism with no estimates. What it omits is failure behavior — what a caller gets when payment is rejected or no fixing exists for the date.

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 plus a bracketed cost/payment preamble, with essentially no filler. The cost bracket is arguably the right thing to front-load for an agent deciding whether to call. Minor cost: the metadata preamble precedes the actual purpose, which delays the 'what does this do' answer by a few tokens.

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 tool with no output schema, the description is nearly sufficient — it enumerates the response facets (rate, rate date, derivation method, source attribution) so the agent knows what comes back without a schema. The residual gap is numeric format/precision and error behavior, which the absence of an output schema leaves undocumented.

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 no parameters, so there is no schema surface to explain and nothing for the description to compensate for. The baseline of 4 applies; the description correctly spends none of its length restating an empty input contract.

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 precise resource: the official JPY/ZAR reference rate, plus its provenance (ECB fixing, or official peg) and the method used (direct, cross via EUR, peg-derived). That is far more specific than the bare tool name, which only encodes the currency pair. It stops short of naming which sibling to prefer for the same pair (fx_convert, fx_timeseries, fx_latest), so the differentiation is implicit rather than stated.

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 only implied: the word 'latest' signals a spot snapshot rather than history, and 'no estimate' signals it is not a modelled/cross-derived figure. There is no explicit when-to-use or when-not-to-use statement, and no routing to fx_timeseries for historical series or fx_convert for conversion. The cost disclosure is a useful de facto gating hint, but the agent must infer the alternatives.

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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