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Novarithm Agent Hub: trust and commerce checks

fx_aed_xof

[PAID $0.002 USDC/call, x402, eip155:8453] Official AED/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_aed_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 behavioral burden and does well: it discloses the paid x402 model and price, the data provenance (ECB fixing), the peg fallback when XOF is pegged, and the method classification (direct, cross via EUR, peg-derived). It does not say what happens on ECB holiday/failure or how the payment handshake must be completed, which prevents a 5.

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?

One dense sentence with no filler; the paid-access tag is front-loaded so the agent knows about the cost gate before calling. The trailing "Deterministic, sourced, no estimate" is slightly promotional but does convey a data-quality guarantee.

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 source, fallback logic, response contents (rate date, method, attribution), and cost model. Gaps are minor: no handling for unavailable fixings and no explicit note that it returns a single pair's rate rather than a converted amount.

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 baseline applies; the pair is fully encoded in the tool name and restated in the description. Nothing extra is needed on the input side.

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 (AED/XOF official reference rate) and the exact source (latest European Central Bank fixing), which is enough to identify it among the hundreds of fx_<base>_<quote> siblings. The verb is only implied ("latest ... fixing") rather than stated, which keeps it just short of 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 currency pair, but there is no explicit when-to-use guidance and no routing to alternatives such as fx_convert (for computed conversions) or fx_timeseries/fx_latest (for history or multi-pair snapshots). An agent must infer that this tool returns one fixed pair only.

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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