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data.ecb-fx-reference

Read-onlyIdempotent

Convert an amount between two supported currencies using one validated ECB daily reference-rate observation. The underlying ECB statistics are available free from the ECB Data Portal; the fee covers bounded retrieval, validation, clearly labelled cross-rate calculation, and x402 delivery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountNoPositive decimal amount with at most 15 integer and 8 fractional digits1
on_or_beforeNoOptional date whose latest available ECB reference observation is used; omit for the latest available common business day
base_currencyYesThree-letter currency converted from, for example GBP
quote_currencyYesThree-letter currency converted to, for example USD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured ECB reference FX conversion result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds valuable context beyond annotations: bounded retrieval, validation, clearly labelled cross-rate calculation, and x402 delivery with a fee. This meaningfully informs the agent about what happens during invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences: the first nails the core function, the second adds relevant commercial/sourcing context. Every phrase earns its place with no redundancy or filler.

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?

Given the rich input schema, enums, output schema, and detailed annotations, the description is sufficient. It adds the key non-schema context (data source, fee, delivery mechanism, validation). It does not explicitly mention the optional date parameter, but the schema already covers that thoroughly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents amount, currencies, and date semantics. The description adds only general context ('supported currencies', 'amount') but no parameter-level detail beyond what the schema provides, which matches the baseline for high schema coverage.

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 clearly states the action ('Convert an amount'), the specific resource ('ECB daily reference-rate observation'), and the scope ('between two supported currencies'). This distinguishes it from generic converters like data.convert and other sibling tools.

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 description makes the tool's purpose clear and implies its use for ECB-reference-based currency conversion, but it does not explicitly state when to prefer this over alternatives or provide exclusions. The context is clear, yet no alternatives or when-not-to-use guidance is offered.

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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TDQS

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources