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Aayat AI

EU FX ($0.002)

eu-fx
Read-only

Official ECB euro foreign-exchange reference rates for about 30 currencies, converted to any base (GBP, USD, EUR...). Latest or any past date since 1999 (the last rate published on or before it). Optional amount conversion. Price: $0.002 in USDC per call (x402 or prepaid credits). In the free trial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoBase currency, default EUR.
dateNoYYYY-MM-DD; default latest.
amountNoAmount of the base currency to convert (default 1).
symbolsNoComma-separated currencies to return (default: all).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseYes
dateYesDate of the rates used.
ratesYesUnits of each currency per `amount` of base.
amountNo
sourceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnly/openWorld/idempotent, so the bar is lower, and the description adds real context: the payment model ($0.002 USDC via x402 or prepaid credits, free trial) and the date fallback behavior ('the last rate published on or before it'). It does not contradict the idempotentHint=false annotation. Minor gap: no statement of rate freshness/update cadence.

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?

Front-loaded with the core resource and source, then coverage, date semantics, and pricing in four tight sentences. The pricing sentence is justifiable for a paid tool, though the '$0.002' detail is repeated in the title.

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?

With an output schema present and annotations covering the safety profile, the description only needs to add what structured fields don't: source, coverage, date fallback, and payment requirements, all of which it supplies.

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?

Schema coverage is 100%, so baseline is 3, and the description earns above it by explaining semantics the schema lacks: base conversion ('any base'), the date fallback ('last rate published on or before it'), and that amount conversion is optional.

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?

States a specific resource with its authoritative source: 'Official ECB euro foreign-exchange reference rates'. It quantifies coverage (~30 currencies), describes the transformation (converted to any base), and implies historical depth (since 1999), distinguishing it from market/token price siblings.

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 by the data source (ECB official rates) and the 'Latest or any past date since 1999' clause, but there is no explicit when-to-use guidance or routing against siblings like token-price or markets-odds. An agent must infer that this is the official-rate option.

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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