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calculators

Car Lease Payment Calculator (Money Factor)

car_lease_calculator

Car Lease Payment Calculator (Money Factor) — Estimate your monthly car lease payment from the cap cost, residual, term, and money factor. See the depreciation and finance split, sales tax, and APR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capCostYes
residualYes
termMonthsYes
moneyFactorYes
salesTaxPctYes

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 full burden. It discloses the output fields and that it produces an estimate. However, it does not mention limitations, assumptions, or the fact that money factor is a decimal (not an APR), nor does it state that the tool is a read-only calculation with no side effects.

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 two sentences, front-loaded, and every sentence provides useful information. It avoids redundancy and is appropriately sized for the tool's complexity.

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 gives the core inputs and outputs but lacks parameter definitions, usage guidance, and any note about edge cases or assumptions. Given the absence of annotations and output schema, it is adequate but has clear gaps that could leave an agent uncertain about parameter semantics.

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%, and the description only lists parameter names without defining them. Terms like cap cost, residual, and money factor are not explained, nor are units or formats (e.g., money factor as decimal, sales tax as percentage). The description adds minimal value beyond the schema's property names.

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 estimates monthly car lease payments using cap cost, residual, term, and money factor. It also lists the output breakdowns (depreciation/finance split, sales tax, APR), which distinguishes it from sibling tools like car_loan_calculator or lease_vs_buy_car_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 implies use when you have lease-specific inputs like money factor, cap cost, and residual. However, it does not explicitly state when not to use this tool or mention alternative calculators (e.g., car_loan_calculator for loan payments). The context is clear but lacks exclusions.

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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