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Novarithm Agent Hub: trust and commerce checks

fx_jpy_ils

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does well to disclose the price and payment protocol ($0.002 USDC/call, x402, eip155:8453), the data source and peg fallback, and that results are deterministic and sourced. It omits two things an agent needs: the quote direction (JPY per ILS vs ILS per JPY) and what happens if no fixing is available, plus any freshness/caching detail.

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 plus a bracketed pricing preamble; the pricing is front-loaded and the substantive data-source detail follows. Nothing is redundant, though the sentence is long enough that splitting the return fields from the sourcing claim would aid scanning.

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

Completeness3/5

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

There is no output schema, so the description must pin down the return semantics, and it only partly does: it names rate date, method, and source attribution but not the numeric direction or units of the rate itself. For a low-complexity, zero-parameter read tool the coverage is adequate, but the missing quote direction is a real gap for an FX tool.

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. The description correctly implies the pair is fixed by the tool name rather than by caller-supplied 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?

States a specific resource (the JPY/ILS official reference rate) and its provenance (ECB fixing or peg), which is enough to separate it from the hundreds of other fx_* pair tools by name alone. It never names fx_convert, fx_latest, or the inverse fx_ils_jpy, so the differentiation is implicit rather than explicit.

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 phrase 'latest European Central Bank fixing' implies the tool is for official/reference-rate use rather than market quotes, which is useful context. However, there is no explicit when-to-use statement, no guidance on when to prefer fx_convert or fx_latest instead, and no mention that the inverse pair exists as a sibling.

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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