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Novarithm Agent Hub: trust and commerce checks

fx_cad_huf

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral load and does well: it discloses the paid x402 model ($0.002 USDC/call on eip155:8453), the data lineage (ECB fixing), the pegged fallback, and the fact that results are deterministic rather than estimated. Remaining gaps are minor — no mention of update cadence, staleness behavior, or error responses.

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 no filler; every clause (payment terms, source, method, date, determinism) adds information. Slight deduction because the bracketed pricing/network metadata precedes the actual purpose, delaying the agent's read of what the tool does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter lookup with no output schema, the description covers everything an agent needs: what is returned (rate, rate date, method, source attribution), where it comes from, cost, and the non-estimated guarantee. Nothing material is missing.

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 parameter semantics baseline at 4. The description correctly treats the currency pair as fixed in the tool identity rather than implying optional arguments.

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 a specific resource (CAD/HUF reference rate) and a specific authority (European Central Bank fixing), and clarifies the pegged-currency fallback. An agent can tell what it fetches without opening the schema. It stops short of 5 because it never distinguishes itself from the many sibling pair tools (fx_huf_cad inverse, fx_convert, fx_latest).

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: 'official... reference rate', 'deterministic, sourced, no estimate' signals this is for an authoritative fixing rather than a live market quote. But no explicit when-to-use/when-not guidance, and no pointer to alternatives such as fx_convert for arithmetic or fx_huf_cad for the inverse direction, despite a sibling set of hundreds of fx_* tools.

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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