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Novarithm Agent Hub: trust and commerce checks

fx_bgn_chf

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

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?

No annotations are supplied, so the description carries the full burden, and it does substantial work: it discloses the paid x402 cost ($0.002 USDC/call on eip155:8453), the authoritative ECB source, the peg-vs-fixing behavior, and what metadata accompanies the rate (rate date, method, attribution). It also asserts determinism and no estimation, which is meaningful for a price feed. It does not cover failure behavior when no fixing is published for a date.

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 with the payment/transport tag bracketed up front and the purpose immediately following, so cost is visible before commitment. Nearly every clause earns its place (source, peg behavior, output metadata), though the listing of output fields makes the sentence long enough to be slightly harder to scan.

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?

With no input schema, no annotations and no output schema, the description is the only carrier of meaning, and it adequately covers source, cost, fallback behavior and returned fields. The one gap is what happens on a non-publication date or how stale a fixing can be before the call still succeeds.

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 and the baseline of 4 applies. The description correctly spends no words on inputs and instead describes outputs.

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 resource and scope: the official BGN/CHF reference rate, defined as the latest ECB fixing (with an explicit peg fallback). That is a specific verb-plus-resource statement an agent can act on. It stops short of differentiating itself from nearby siblings such as fx_convert, fx_latest or fx_timeseries, which remain plausible confusions given the hundreds of fx_* pairs.

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 usage is only implied: an agent infers it should call this to obtain the authoritative BGN/CHF fixing, and the peg note signals it also covers pegged edge cases. There is no explicit statement of when to prefer fx_convert (for computed conversions) or fx_timeseries (for history), and no prerequisites are stated. For a zero-parameter lookup this is workable but leaves selection to inference.

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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