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Inferventis — Financial Data, News & Web MCP

timezone_convert

Converts time between timezones. Useful for time conversion tasks. Use when you need to convert 3:45 PM EST to Pacific Time for a meeting schedule; or find what time it will be in Tokyo when it's 9 AM in New York; or translate an event time from London timezone to Sydney timezone. Also use to find the equivalent time in Dubai for a 2 PM Central European Time appointment; or find the local time in San Francisco when it's midnight in Berlin. Accepts time, from_tz, to_tz, date. Returns the converted local time in the target timezone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoCalendar date string in standard formats like 'YYYY-MM-DD', 'MM/DD/YYYY', or 'DD.MM.YYYY', representing the specific day for the timezone conversion calculation.
timeYesA string representing the time to convert, formatted in 24-hour or 12-hour notation with optional AM/PM indicator, such as '14:30' or '2:45 PM'.
to_tzYesTarget timezone identifier where the time will be converted, supporting IANA standard timezone names like 'Europe/London' or abbreviations such as 'GMT', indicating the destination geographical region.
from_tzYesTimezone identifier for the source time, accepting IANA standard names like 'America/New_York' or common abbreviations such as 'EST', specifying the original time's geographical context.

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states the return value ('Returns the converted local time in the target timezone') but does not disclose important behaviors such as daylight saving time handling, date boundary changes, or error cases. This is a moderate gap for a timezone tool.

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

Conciseness3/5

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

The description is somewhat verbose, with five repetitive examples that could be trimmed to one or two. It is front-loaded with the core purpose, but the examples pad the text without adding substantial value.

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 moderate complexity and thorough schema, the description covers purpose, usage, and return value sufficiently. It lacks details on edge cases like DST or invalid inputs, but for a simple conversion tool this is not a major gap.

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?

The input schema already provides 100% coverage with detailed descriptions for all parameters. The description adds value through examples that illustrate how parameters are used, but it mostly repeats parameter names without adding new semantic meaning.

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 tool converts time between timezones, which is a specific verb+resource. It provides multiple examples that illustrate its purpose, and there is no other timezone tool among the siblings to confuse it with.

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

Usage Guidelines4/5

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

The description explicitly says 'Use when you need to' and gives several concrete scenarios, making it clear when this tool is appropriate. However, it does not mention when not to use it or name alternatives, though no direct alternative exists among the siblings.

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.