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Novarithm Agent Hub: trust and commerce checks

fx_sar_try

[PAID $0.002 USDC/call, x402, eip155:8453] Official SAR/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_sar_try"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
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 a solid job: it discloses the paid model ($0.002 USDC/call via x402 on eip155:8453), the provenance guarantee ('deterministic, sourced, no estimate'), and the ECB-fixing-versus-peg fallback behavior. It does not cover failure modes (what happens if no fixing exists for a date), update cadence, or whether a stale rate is ever returned.

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 clauses, both dense with signal: the pricing/transport bracket up front, then a single sentence covering source, fallback, and returned fields. Front-loading the paid-metadata is defensible for an x402 tool, and there is no filler, though the core sentence is long and could be split for scanability.

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?

The tool is a zero-parameter, zero-annotation read with no output schema, so the description has to explain both what comes back and why the value is trustworthy — it does exactly that by enumerating rate date, method (direct, cross via EUR, peg-derived), and source attribution, plus the deterministic/no-estimate guarantee. Nothing an agent needs in order to call it correctly 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 the baseline is 4; the pair and source are fixed by the tool identity itself. The description correctly implies no input is needed, though it never explicitly states 'call with no arguments'.

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 precise resource (SAR/TRY reference rate), a precise source (the latest European Central Bank fixing, falling back to the official peg when TRY is pegged), and the exact payload it returns (rate date, derivation method, source attribution). Against a sibling set of hundreds of near-identical fx_<base>_<quote> tools, the pair and source together make it unambiguous which one to call.

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 rather than stated: an agent can infer 'call this when you need a sourced SAR/TRY reference rate'. There is no explicit routing versus fx_convert (arithmetic conversion), fx_latest, or fx_timeseries, and no statement of when this official-fixing source should be preferred over those alternatives.

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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