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Novarithm Agent Hub: trust and commerce checks

fx_jpy_mxn

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses the paid access model ($0.002 USDC per call via x402 on eip155:8453), the data provenance (ECB fixing), the fallback behavior when MXN is pegged, and that the value is deterministic with no estimation. It also enumerates the returned fields (rate date, method, source attribution), so an agent knows call cost, trust level, and response shape before invoking.

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 after the payment tag; every clause contributes (source, fallback, method, returned fields, determinism). The payment metadata is front-loaded, which is arguably the right priority for a paid tool, though splitting the commercial tag from the data description would read slightly cleaner.

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-argument, no-output-schema tool this is nearly complete: source, method, fallback, cost, and returned fields are all covered. The one notable omission is the quote direction (whether the rate is MXN per JPY or JPY per MXN) and how non-fixing days (weekends/holidays, no ECB publication) are handled.

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?

Zero input parameters, so the schema has nothing to explain and the baseline of 4 applies. The description adds no parameter-level noise, which is correct here.

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?

Names the exact resource (JPY/MXN reference rate), the authoritative source (ECB fixing, or the official peg for MXN), and the derivation method (direct, cross via EUR, peg-derived). It is unambiguous against the hundreds of sibling pair tools. It stops short of naming an explicit alternative such as fx_convert or fx_latest, which keeps it off a 5.

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 implied by the pair name and by 'no estimate' / 'deterministic, sourced', which signals this is for authoritative reference rates rather than ad-hoc conversion. There is no explicit when-to-use or when-not-to-use statement, and no pointer to fx_convert (arithmetic conversion), fx_latest (multi-pair snapshot), or fx_timeseries (history) despite there being many near-neighbours in the sibling list.

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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