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fx_cad_inr

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

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 does disclose the payment mechanism ($0.002 USDC/call, x402, eip155:8453), the data source (ECB), and the guarantee of no estimation, which is real value. It stops short of covering error behavior, staleness/freshness limits, or the exact response shape, so it is good but not comprehensive.

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 front-loaded sentence, with the payment tag bracketed first so cost is seen before commitment, followed by the substantive content. No wasted words, though the cost tag is somewhat dense with protocol jargon.

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, no-output-schema lookup, the description covers source, method, rate date, peg handling, and price, which is most of what an agent needs. The main gap is freshness/latency and what a failure looks like.

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 and it correctly adds no parameter noise.

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 (CAD/INR reference rate) and a specific authority (European Central Bank fixing), plus the peg fallback, so an agent knows exactly what number it gets. It does not explicitly contrast itself with siblings like fx_convert or fx_latest, leaving that differentiation to the name.

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: 'reference rate', 'deterministic, sourced, no estimate' hints this is for official rates rather than conversions, but it never says when to prefer fx_convert or fx_timeseries. No exclusions or prerequisites are given.

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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