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Novarithm Agent Hub: trust and commerce checks

fx_czk_xof

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does well: it discloses the payment requirement and price ($0.002 USDC/call via x402 on eip155:8453), the data provenance, the peg fallback, and the 'no estimate' guarantee. What is missing is operational behavior such as rate limits, error responses on unsupported pairs, or stale-rate handling around ECB holidays.

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?

Two tight sentences with the payment terms bracketed out front and the substantive content (source, fields returned, method, fallback) following immediately. Every clause adds information; nothing is redundant with the name.

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 usefully enumerates the returned fields (rate, rate date, method, source attribution) and the resolution logic. It stops short of specifying the response encoding or numeric precision, which an agent consuming the value would want.

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 and there is nothing for the description to disambiguate. The pair is fully encoded in the tool name and restated in prose.

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 ('Official CZK/XOF reference rate') with the exact sourcing (European Central Bank fixing) and the fallback rule for a pegged XOF. Because the pair direction is spelled out in prose, an agent can distinguish it from the reversed sibling fx_xof_czk without opening any schema.

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 the 'reference rate' framing, but the description never states when to prefer this over fx_latest, fx_convert, or fx_timeseries, nor any precondition for calling it. An agent must infer the routing decision from the tool name alone.

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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