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Novarithm Agent Hub: trust and commerce checks

fx_eur_bgn

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

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 the description carries the full burden and does well: it discloses the cost ($0.002 USDC/call), the payment protocol and chain (x402, eip155:8453), the upstream source, and that the value is deterministic and non-estimated. It omits what happens when no fixing exists (weekends/holidays) and any staleness or caching behavior.

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, no filler; the billing tag is bracketed up front and the substantive definition follows immediately. Slightly packed — the list of returned fields (rate date, method, source attribution) reads as a run-on — but every clause carries information.

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, the description helpfully enumerates the returned elements (rate date, method, source attribution), which compensates for the absent schema. The remaining gap is the quoting convention — whether the rate is EUR-based (1 EUR = X BGN) — which an agent cannot infer from an empty schema.

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 and the baseline of 4 applies. No parameter semantics gap exists.

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?

Names the exact resource (EUR/BGN), the authoritative source (European Central Bank fixing), and the fallback semantics (official peg when BGN is pegged). Against hundreds of fx_* siblings the currency pair in the name plus this confirmation make the resource unambiguous, and it is clearly a reference-rate lookup rather than a conversion tool.

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 context is implied — you call it when you need the EUR/BGN reference rate — but there is no explicit when-to-use vs. when-not, no mention of `fx_convert` for actual conversion or `fx_latest`/`fx_timeseries` for other views, and no note on whether to prefer it over a market-rate quote. 'No estimate' hints at the reference-vs-market distinction but does not name an alternative.

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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