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APY Calculator: APR to APY Conversion

apy_calculator

APY Calculator: APR to APY Conversion — Convert your nominal rate (APR) to APY instantly. See how compounding frequency—daily, monthly, or quarterly—affects your true annual yield and final balance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYes
depositYes
compoundingYes
nominalRatePctYes

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 must carry the burden. It explains the tool's effect (conversion, compounding impact) and implies outputs like final balance, but does not state assumptions, units, or limitations (e.g., max rate, years). This is adequate but not rich in behavioral disclosure.

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 brief and front-loaded, but the first clause repeats the title verbatim. The remaining sentences are efficient and informative, making it mostly concise with minor redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should clarify what the agent can expect in response. It mentions 'final balance' and 'true annual yield' but does not state whether the tool returns a single number, an object, or formatted text. It also omits input constraints (e.g., rate cap, deposit limits) that are present in the schema, leaving some gaps for a 4-parameter tool.

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 0%, and the description adds some meaning by explaining that nominalRatePct is APR and listing compounding options (though it omits 'annually' from the enum). Basic semantics for deposit and years are conveyed by property names, but units and constraints are not explained.

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 uses a specific verb ('Convert') and specifies the resource ('nominal rate (APR) to APY') while also mentioning compounding frequency and final balance. This clearly distinguishes it from sibling calculators like compound_interest_calculator or roi_calculator.

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 provides clear context: it is for converting APR to APY and analyzing how compounding frequency affects yield and balance. It does not explicitly name alternative tools or exclusion cases, but the use case is unambiguous for a calculator of this type.

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

B3.1/5.0
Disambiguation2/5

Many calculators occupy overlapping conceptual spaces, such as 'ai_roi_calculator' vs 'ai_automation_payback_calculator' and 'llm_self_host_vs_api_calculator' vs 'ai_build_vs_buy_calculator'. The boundaries between debt payoff, savings goal, and drawdown tools are also fuzzy, making it easy for an agent to select the wrong tool despite detailed descriptions.

Naming Consistency5/5

Every tool follows the same <topic>_calculator pattern with lowercase snake_case, making the naming highly predictable and consistent. Even acronyms and numbers fit the pattern, so there is no mixing of conventions.

Tool Count1/5

122 tools is an extreme number for a single MCP server, far exceeding the 50+ threshold for a severe mismatch. The tools span unrelated domains like AI costs, pet food, concrete, pizza dough, and turkey cooking, creating an unfocused kitchen-sink surface that overwhelms an agent's selection process.

Completeness3/5

The set covers many common calculator categories such as finance, construction, health, and AI costs, but several staple calculators are missing (e.g., BMI, tip, discount, simple interest, currency conversion). The AI cost cluster is over-saturated while other everyday calculations are absent, leaving minor but noticeable gaps.

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