Resale Margin Calculator
Server Details
Paid MCP tool for resale fees, net profit, ROI, and break-even price.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of selecting the wrong one. Its purpose (resale fee, net profit, ROI, break-even) is clearly stated and unambiguous.
With a single tool named resale_margin in snake_case, there is no inconsistency to detect. The name is readable and directly reflects the server's domain.
A one-tool surface is thin even for a focused calculator; splitting inputs/outputs or offering comparison or batch modes could add value. It is defensible for such a narrow domain, but borderline by the calibration guidance.
The single tool covers the core lifecycle of a margin calculation: selling fee, net profit, ROI, and break-even price, including documented edge-case behavior. Minor gaps remain, such as multi-item or batch scenarios, but core workflows are covered.
Available Tools
1 toolresale_marginAInspect
Calculate resale selling fee, net profit, ROI, and break-even sale price. Results are rounded to two decimals; ROI is null for zero purchase price and break-even is null when the fee is at least 100 percent.
| Name | Required | Description | Default |
|---|---|---|---|
| sale_price | Yes | ||
| shipping_cost | No | ||
| purchase_price | Yes | ||
| selling_fee_percent | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| net_profit | Yes | |
| roi_percent | Yes | |
| selling_fee | Yes | |
| break_even_sale_price | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only give safety/idempotency hints, so the description adds real value with non-obvious behavioral rules: results are rounded to two decimals, ROI is null for a zero purchase price, and break-even is null when the fee is >= 100 percent. These edge conditions are precisely the kind of detail an agent needs to interpret output correctly.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two tight sentences: purpose first, edge-case behavior second. No filler, no redundancy, and the most decision-relevant information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
An output schema exists, so return values need not be described, and the null/rounding rules cover the trickiest interpretation cases. The remaining gap is the thin parameter semantics for an all-undocumented 4-param schema, which keeps this just short of complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden, and it does so only partially. It mentions purchase price (via the zero-price ROI rule) and selling fee (via the 100 percent break-even rule), but says nothing about shipping_cost, units/format for selling_fee_percent (e.g. 13 vs 0.13), or the defaults on the optional params.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Calculate) and enumerates the exact outputs: resale selling fee, net profit, ROI, break-even sale price. An agent immediately knows what the tool returns without opening the schema, and there are no siblings to disambiguate from.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the name and the enumerated outputs — this is plainly a pricing/ROI calculator — but the description never states when to reach for it versus doing the arithmetic elsewhere, nor any prerequisites. With no siblings, no alternatives can be named, so 3 is the ceiling for implied-only guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
resale_margin
Related MCP Connectors
Paid MCP tools for onchain alpha research, X content analysis, and KOL distillation.
Connects Amazon Seller Central and Amazon Advertising to any MCP client. Settlement-accurate P&L - every fee, refund and reimbursement as Amazon posted it - plus contribution margin and breakeven per product, per marketplace, per day. Full Sponsored Products, Brands and Display management: search terms, placements, keyword and competitor research, dayparting, automation rules. 107 tools: 72 read-only, 29 that stage a reviewable diff for your approval, and 6 confirmation/support actions. Write tools stage a reviewable diff; applying it takes a separate confirmation.
MCP tools: collectible price-fairness, recall safety, drop tracking, card grading, settlements.
37 paid x402 MCP tools for OSINT, prediction markets, web intel, and agent security on Base USDC.
Related MCP Servers
- AlicenseAqualityBmaintenanceProfitLee MCP is an MCP server for analyzing ecommerce and marketplace profitability. It helps users calculate net profit, profit margin, ROI, breakeven price, and fee-adjusted outcomes from product cost, selling price, shipping, ads, platform fees, and tax inputs. It also supports reusable profit scenarios so users can compare pricing and cost assumptions more easily.787 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server for Amazon FBA sellers providing tools for profit calculation, inventory health analysis, COGS breakdown, tax deduction guidance, reorder point calculation, and FBA fee reference.MIT
- AlicenseNot gradedqualityDmaintenanceAI-powered e-commerce research tools via MCP. Search Amazon, Alibaba & AliExpress for winning products, vet suppliers, and calculate FBA margins. 19 tools, free tier available.15 npm4MIT
- AlicenseNot gradedqualityBmaintenanceConnects Amazon Seller Central and Amazon Advertising to any MCP client, with a settlement-accurate P&L underneath: every fee, refund and reimbursement as Amazon actually posted it, so contribution margin and breakeven are per product, per marketplace, per day. 107 tools spanning P&L, full Sponsored Products/Brands/Display management, Search Query Performance and Brand Analytics, inventory and for1MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.