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Inferventis — Financial Data, News & Web MCP

currency_rates

Retrieves live and historical fiat currency exchange rates from the Frankfurter API (sourced from the European Central Bank). Supports both real-time conversion and historical rate lookup for any past date, making it the preferred tool when auditable, ECB-sourced rate data is required. Use currency_rates when a rate from a specific past date is required (e.g. accounting, tax, or audit), or when the ECB source must be documented. Prefer currency_convert when only a live conversion is needed with a richer structured response. Prefer currency_convert_lite for lightweight live ECB conversions without historical requirements. Prefer currency_fx_lite when ECB sourcing is not required and only a lightweight live result is needed. Use currency_convert_open when a non-ECB rate source is acceptable and Frankfurter is unavailable. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.

Input Schema

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

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral transparency burden. It discloses the ECB/Frankfurter source, supports historical dates, and excludes crypto. However, it does not mention response format or whether rates are mid-market, which are relevant behavioral traits for a rate lookup tool.

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?

The description is a single, well-structured paragraph where every sentence adds value. It starts with a clear purpose statement, then expands with usage guidelines and exclusions, without 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 no output schema and no annotations, the description provides strong context: purpose, source, historical capability, usage conditions, and alternatives. It lacks an explicit mention of the return structure (e.g., converted amount and rate), which prevents a perfect score, but overall it is complete enough for effective tool selection.

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%, with each parameter (amount, from, to) already clearly described. The tool description adds no further parameter-level detail, so a baseline score of 3 is appropriate.

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 explicitly states the tool's function: 'Retrieves live and historical fiat currency exchange rates from the Frankfurter API (sourced from the European Central Bank).' It also clarifies its distinct capability of supporting historical date lookups, which clearly differentiates it from sibling conversion tools.

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 gives explicit usage guidance with concrete conditions: 'Use currency_rates when a rate from a specific past date is required (e.g. accounting, tax, or audit), or when the ECB source must be documented.' It further distinguishes alternatives like currency_convert, currency_convert_lite, currency_fx_lite, and currency_convert_open, making the selection criteria 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.