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Novarithm Agent Hub: trust and commerce checks

fx_chf_xof

[PAID $0.002 USDC/call, x402, eip155:8453] Official CHF/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_chf_xof"
  }
}

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, the description carries the full burden and does reasonably well: it discloses the payment requirement and price ($0.002 USDC/call, x402, eip155:8453), the data provenance and freshness basis (latest ECB fixing), that a peg may substitute for a fixing, and that results are deterministic rather than estimated. It does not describe failure behavior, e.g. what happens on non-publication days, or the response shape, which is significant given there is no output schema.

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 preceded by a bracketed cost/payment tag, with the key identity (what rate, from which source) front-loaded. Every clause adds information (source, peg fallback, returned metadata, determinism). It is packed rather than padded, though the phrasing 'with the rate date, the method ... and the source attribution' is slightly list-like.

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 and no annotations, the description covers the essentials an agent needs: what value is returned, its provenance, its date semantics, and the cost of calling it. The remaining gap is the exact response structure and behavior when no fixing exists, which is modest for a simple lookup.

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 no parameter semantics to explain; the baseline of 4 applies. The description correctly adds no parameter narrative and instead spends its words on the returned value and its source.

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?

States a specific resource (the CHF/XOF official reference rate), the source (European Central Bank fixing, or the official peg when XOF is pegged), and the returned fields (rate date, derivation method, source attribution). That is far more than the name alone conveys. It stops short of naming sibling alternatives such as fx_convert or fx_timeseries, so sibling differentiation is only implicit in the pair-naming convention.

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 use when an authoritative reference rate is required rather than a derived or converted value. However, there is no explicit when-to-use or when-not-to-use guidance and no routing to fx_convert for arbitrary amounts or fx_timeseries for history, so the agent must infer the choice.

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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