Skip to main content
Glama

calculators

Amazon FBA Profit Calculator

amazon_fba_calculator

Amazon FBA Profit Calculator — Calculate Amazon FBA net profit, margin, and ROI for any product. Enter price, COGS, and size tier to see the full fee breakdown and your break-even price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cogsYes
priceYes
adCostNo
sizeTierNolarge_standard_1lb
referralRatePctNo

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the outputs (net profit, margin, ROI, fee breakdown, break-even price) but does not mention underlying fee rate assumptions, the optional ad cost parameter, or any limitations. This gives functional transparency but leaves some behavioral details implicit.

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 concise, two sentences, front-loaded with the verb 'Calculate,' and every clause contributes useful information about inputs or outputs. No filler or redundant phrasing.

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?

Since there is no output schema, the description lists the return values (net profit, margin, ROI, fee breakdown, break-even price). It captures the essential workflow and is complete enough for a simple calculator. Minor gaps include not mentioning the optional adCost parameter or fee rate assumptions, but these are not critical for basic usage.

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%, so the description must compensate. It names price, COGS, and size tier and explains their role in the calculation. However, it omits adCost and referralRatePct, leaving those to be inferred from the schema. It adds some meaning beyond parameter names but does not fully cover all five parameters.

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 'Calculate Amazon FBA net profit, margin, and ROI for any product' with a specific verb and resource. It distinguishes itself from generic calculators by explicitly targeting Amazon FBA and mentioning the full fee breakdown.

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 usage context: 'Enter price, COGS, and size tier to see the full fee breakdown and your break-even price.' It tells the agent exactly what inputs to provide and what to expect, but it does not explicitly mention alternatives or situations where this tool should not be used.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources