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Novarithm Agent Hub: trust and commerce checks

fx_chf_try

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add real value: cost ($0.002 USDC/call), payment protocol (x402), chain (eip155:8453), determinism, and the peg fallback. Missing are rate-limit/retry behavior, what happens when no fixing is available, and how the paid call is authorized — all relevant for a paid endpoint. The gaps keep this at an adequate rather than strong level.

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?

Two sentences, front-loaded with the payment terms in a bracketed prefix, then the substantive rate description. Every clause carries information (source, date, method, attribution). Slightly dense but no filler; the bracket prefix is a defensible structural choice for a metered endpoint.

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 does the necessary work by enumerating the returned elements (rate, rate date, method, source attribution) and the payment model. It is nearly complete; only failure/no-fixing behavior and payment authorization flow are unstated.

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 the baseline is 4. The description correctly implies a fixed currency pair with nothing to configure, and the peg fallback explains that a caller cannot choose direct vs cross-via-EUR — the tool decides. No parameter meaning is left ambiguous.

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 a specific resource (the CHF/TRY reference rate) and specifies the exact provenance: the latest ECB fixing, or the official peg when TRY is pegged. That is far more than a restatement of the tool name. It does not explicitly contrast itself with the sibling FX tools (fx_chf_eur, fx_convert, fx_latest, fx_timeseries), so the agent must infer from the pair naming that this is the pairwise reference-rate endpoint.

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 only implied: 'reference rate', 'official', 'deterministic, sourced, no estimate' suggests this is the right choice when an official/auditable rate is needed rather than a conversion or a computed estimate. However, no sibling is named and there is no explicit when-not guidance (e.g. use fx_convert for amounts, fx_timeseries for history).

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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