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Novarithm Agent Hub: trust and commerce checks

fx_sgd_sar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
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 reasonably well: it discloses the per-call price and payment rail ($0.002 USDC, x402, eip155:8453), the data source (ECB), the fallback behaviour when SAR is pegged, and asserts the value is deterministic and non-estimated. It doesn't cover edge cases such as holiday/weekend fixings or what happens when no fixing exists.

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?

It is a single dense sentence cluster with the pricing metadata bracketed at the front and the resource definition immediately after, so it is front-loaded and free of filler. The pricing bracket is arguably noise for an agent that cannot pay, but it is compact and clearly delimited.

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 parameterless data-retrieval tool with no annotations and no output schema, the description covers source, method, date semantics, and the fields a caller can expect (rate date, method, source attribution). Only the concrete return shape and failure modes are left implicit.

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; there is nothing for the description to disambiguate. The statement that the result is 'deterministic, sourced, no estimate' usefully tells the agent the value is fixed rather than computed from user inputs.

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 the exact resource (the SGD/SAR reference rate) and its provenance (ECB fixing, or the official peg for SAR), which is enough to separate it from the ~400 other fx_* pair tools whose names already encode their pair. It stops short of explicitly contrasting with generic siblings like fx_latest or fx_convert, so it is clear but not fully differentiated.

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: an agent can infer 'call this to get the SGD/SAR rate,' but nothing says when to prefer this over fx_convert, fx_latest, or fx_timeseries, nor whether it is a snapshot or history call. In a catalogue this dense with near-identical siblings, the absence of routing guidance is a real gap.

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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