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Rahul D Sarker: Marketing & RevOps Tools

Sales Rep Ramp Time and Cost Calculator

sales_rep_ramp_calculator
Read-onlyIdempotent

Estimate the cost of ramping new sales reps: unproductive cost during ramp, bookings lost versus fully ramped reps, first-year bookings and payback month. See the full version at https://rahuldsarker.co/calculators/sales-rep-ramp-calculator

Input Schema

NameRequiredDescriptionDefault
curveNoRamp shape: linear (default), slow start, or fast start
hiresYesNumber of reps being hired
currencyNoISO 4217 code for money in the result, e.g. "USD", "INR", "EUR", "GBP". Omit to show plain numbers.
rampMonthsYesMonths until a new rep is fully productive
monthlyCostYesFully loaded monthly cost per rep
monthlyQuotaYesMonthly bookings of a fully ramped rep

Output Schema

NameRequiredDescriptionDefault
urlYes
kindYes
toolYesThe calculator tool that produced this result
notesYes
titleYes
inputsYes
compactYes
metricsYesEvery "Label: value" line of the result; value is the first number on the line
currencyYes
benchmarksYesRule-of-thumb verdicts for the headline numbers
bookingUrlYes
calculatorYesSlug of the interactive calculator on rahuldsarker.co

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile for a calculation tool. The description adds no behavioral context beyond that, but it does not contradict the annotations either.

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 first sentence is front-loaded with the tool's purpose and outputs, and the second sentence is short. However, the external URL to the full version does not help an agent invoke the tool and slightly dilutes conciseness.

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?

Given a rich schema, full annotations, and an output schema, the description provides enough context to identify the tool's calculations. It does not need to explain return values or parameter details, though it could say more about when to choose it over similar calculators.

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 100%, so every parameter is already documented in the input schema, including the ramp curve enum and currency format. The description adds no parameter meaning beyond what the schema provides, making 3 the baseline.

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?

States a specific verb (Estimate) and resource (cost of ramping new sales reps), then names the exact outputs: unproductive cost, bookings lost, first-year bookings, and payback month. This clearly distinguishes it from sibling sales calculators like quota or commission modelers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. It simply describes what the calculator computes, leaving the agent to infer usage from the name and siblings.

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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