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calculators

Loan Amortization Calculator

loan_amortization_calculator

Loan Amortization Calculator — Get your full loan amortization schedule instantly. See how each payment splits between interest and principal, and how extra payments cut total interest paid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loanAmountYes
termMonthsYes
extraMonthlyYes
annualRatePctYes

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of explaining behavior. It mentions the output (schedule, splits, interest savings) but fails to disclose key assumptions such as fixed-rate equal monthly payments, how extra payments are applied (reducing term vs lowering payment), compounding frequency, or whether the calculation is read-only. This is a notable transparency gap for a calculator with no structured annotation safety hints.

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 only two sentences, front-loads the core purpose, and every sentence adds value. It avoids redundancy with the title and stays appropriately concise for a simple calculator tool.

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?

The description covers the main output (full schedule, payment splits, extra payment impact) but leaves out important invocation-relevant details like calculation assumptions, response format, and parameter guidance. Given the lack of annotations and output schema, the description is adequate but has clear gaps that could affect correct usage.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it does not mention any parameter names, units, or the precise meaning of annualRatePct (percent vs decimal) or extraMonthly (monthly extra payment applied to principal). While parameter names are somewhat self-explanatory, the description adds no concrete semantics beyond the generic word 'extra payments.'

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: generating a full loan amortization schedule and showing interest/principal splits plus the effect of extra payments. It uses a specific action ('Get your full loan amortization schedule') and a clear resource, but it does not explicitly distinguish itself from sibling loan calculators like car_loan_calculator or personal_loan_calculator.

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 implies this tool should be used when a full amortization schedule with extra payment effects is needed, but it provides no explicit guidance on when to use this versus sibling loan calculators. There are no exclusions or alternative tool mentions, so usage context is only implied.

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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