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Novarithm Agent Hub: trust and commerce checks

fx_cad_xaf

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

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 substantial work: it discloses the paid access model and price ($0.002 USDC/call via x402 on eip155:8453), the data source (ECB), the fallback path (official peg when XAF is pegged), and that the result is deterministic and never estimated. It does not cover failure behavior when no fixing is available for a given date, which is the main remaining gap.

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?

Two sentences, no filler, and every clause adds information: cost, source, fallback, and the three returned fields. The bracketed payment metadata leads the description, which competes slightly with the purpose statement, but the text is otherwise tight and front-loaded.

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 read tool with no annotations and no output schema, the description covers what it returns (rate, rate date, derivation method, attribution), where the number comes from, and what it costs to call. Only the behavior on a missing or stale fixing is left unstated, which is a modest omission given the tool's simplicity.

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 schema to document and the baseline of 4 applies. The description instead spends its words on what the fixed pair and fixed output components mean, which is the right allocation of effort for a parameterless tool.

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 the exact currency pair and the resource returned: the official CAD/XAF reference rate, sourced to the ECB fixing or the official peg. That is far more specific than a restatement of the name and tells an agent this is a reference-rate lookup, not a conversion. It stops short of naming sibling alternatives such as fx_convert or fx_latest, leaving the pair-level routing to the tool name.

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 rather than stated: 'reference rate' plus 'no estimate' hints that this is for a single authoritative fixing, not for converting arbitrary amounts. There is no explicit when-to-use or when-not-to-use guidance against fx_convert, fx_latest, or fx_timeseries, which an agent must infer from the names 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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