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Novarithm Agent Hub: trust and commerce checks

fx_xof_sar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full behavioral burden and does well: it discloses the paid cost and protocol ($0.002 USDC/call via x402 on eip155:8453), the data provenance (ECB), the peg-degradation path, and a determinism guarantee with an explicit no-estimate claim. What it leaves out is failure behavior -- what happens if a fixing is unavailable or stale -- which keeps it short of 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?

It is a compact two-clause sentence that front-loads the payment metadata and then the rate definition, with no filler. The bracketed pricing prefix is slightly noisy for an agent scanning for purpose, but it is a required disclosure and is clearly demarcated from the substantive content.

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?

There is no output schema, yet the description enumerates the returned fields an agent needs -- the rate, the rate date, the derivation method, and the source attribution -- so return-value meaning is covered. Given a zero-parameter tool, the remaining gap is only the absence of any statement about staleness or error responses.

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 description to disambiguate at the argument level and the baseline of 4 applies. The description correctly spends its words on scope and source instead of restating an empty schema.

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?

The description names a specific resource (the XOF/SAR reference rate) and a specific source (the latest ECB fixing, or the official peg when SAR is pegged). It also states the derivation method (direct, cross via EUR, peg-derived), which pins down exactly what value is returned and prevents confusion with a differently-sourced quote in this large fx_* family.

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 description implies when this tool applies -- when you need a latest official fixing for the XOF/SAR pair -- and names the peg fallback condition. However, it never routes the agent away from close siblings such as fx_convert, fx_latest, or fx_timeseries, so the agent must infer the boundary between a single-pair fixing call and a conversion or historical call.

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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