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Inferventis — Financial Data, News & Web MCP

currency_convert_lite

Converts a monetary amount between any two fiat currencies using live exchange rates from the Frankfurter API (European Central Bank data). Returns the converted amount and the exchange rate applied. This is a lightweight variant of currency_convert — minimal response without rate timestamp or source attribution. Use currency_convert_lite when only the converted value and rate are needed and ECB/Frankfurter-sourced rates are preferred. Prefer currency_convert when the agent also needs rate timestamp and richer structured output. Prefer currency_fx_lite for the same minimal output (amount + rate) when the ECB data source is not specifically required — both return identical fields but draw from different rate providers. Use currency_rates when a historical rate from a specific past date is required (e.g. accounting, tax, or audit). Use currency_convert_open as a fallback when Frankfurter is unavailable or rate-limited. Does not support cryptocurrency pairs — use crypto_price or crypto_fx_rates for crypto-to-fiat conversions. Accepts all major ISO 4217 currency codes (USD, EUR, GBP, JPY, CHF, AUD, CAD, SGD, NOK, SEK, DKK, PLN, CZK, HUF, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesISO 4217 code of the target currency (e.g. 'EUR', 'JPY', 'CHF'). Case-insensitive.
fromYesISO 4217 code of the source currency (e.g. 'USD', 'GBP', 'EUR'). Case-insensitive.
amountYesMonetary amount to convert. Must be a positive number.

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the live data source (Frankfurter/ECB), what is returned (amount and rate), that the response omits timestamp/source attribution, and that crypto is unsupported. It also mentions fallback behavior when Frankfurter is rate-limited. However, it does not discuss error handling, invalid code behavior, or any potential side effects, so a small transparency gap remains.

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?

The description is longer than necessary but front-loaded: the first sentence states the core action, the second states the return value, and the rest is purposeful sibling differentiation. While the tool-selection guidance is verbose, it earns its place given the large sibling list. No filler words or tautology.

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?

The tool has no output schema, so the description must explain return values, and it does: 'Returns the converted amount and the exchange rate applied.' It also covers data source, response scope (minimal), and exclusions. Given that this is a simple conversion tool with three fully documented parameters, the description is contextually complete.

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 input schema already covers parameter meaning 100%, so the baseline is 3. The description adds value by specifying 'fiat currencies' only, listing example ISO codes, and explicitly stating crypto pairs are not supported. This extra context helps disambiguate parameter constraints beyond the schema's generic 'ISO 4217 code' definitions.

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 opens with a specific verb ('Converts') and clear resource ('monetary amount between any two fiat currencies'), immediately distinguishing it from sibling tools. It further clarifies that this is a 'lightweight variant of currency_convert' with a minimal response, so the tool's purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use guidance and names alternatives: use this when only converted value and rate are needed, prefer currency_convert when timestamp/richer output is needed, prefer currency_fx_lite when ECB source is not required, use currency_rates for historical, and currency_convert_open as a fallback. It also excludes crypto and directs to crypto_price/crypto_fx_rates, making selection among siblings very clear.

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

A3.9/5.0
Disambiguation3/5

Many tools have overlapping purposes, especially in currency conversion (5 tools) and financial calculations (2 tools). While descriptions are detailed and try to differentiate, the sheer number of similar tools could confuse an agent. The platform_tool_finder tool helps but doesn't fully resolve ambiguity.

Naming Consistency3/5

Naming follows snake_case but is inconsistent: some tools use noun_verb (e.g., currency_convert), others noun_noun (e.g., bank_accounts). There are also variants with suffixes like '_lite' and '_open' which help, but the pattern varies across the set.

Tool Count4/5

20 tools is reasonable for a financial data and news server, covering stocks, crypto, fiat, banking, payments, calculations, and web content. However, there is redundancy (5 fiat converters) that could be streamlined, making the count slightly higher than ideal.

Completeness4/5

The tool set covers a broad range of financial tasks: real-time stocks, crypto, fiat conversion, bank transactions, payments, financial calculations, news, and web reading. Minor gaps exist, such as lack of historical stock data or portfolio tracking, but most common queries can be handled.