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Rahul D Sarker: Marketing & RevOps Tools

Annual Growth Goal Back-Calculator

annual_growth_goal_back_calculator
Read-onlyIdempotent

Work backwards from an annual revenue goal, through ACV and close rates, to the traffic and leads needed per month to hit it. See the full version at https://rahuldsarker.co/calculators/annual-growth-goal-back-calculator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
acvYesAverage contract value
revenueGoalYesAnnual revenue goal
visitorToLeadPctYesVisitor-to-lead conversion rate, as a percentage
leadToCustomerPctYesLead-to-customer close rate, as a percentage

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds value by spelling out the input-to-output computational chain, which is the only behavioral trait a pure calculator has. It does not add edge-case or error behavior, but none is really needed here.

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?

Two sentences, calculation purpose front-loaded, zero wasted preamble. The trailing promotional URL is a minor cost but takes little space and is clearly separable.

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?

No output schema exists, and the description does state the output ('traffic and leads needed per month'), covering the essential return expectation. For a deterministic single-result calculator with full annotation and schema coverage, this is adequate; a note on output units or format is the only missing piece.

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 all four parameters (revenueGoal, acv, leadToCustomerPct, visitorToLeadPct) are already documented in the schema. The description mentions ACV and close rates in prose but adds no format, unit, or range detail beyond the schema (e.g., that percentages are 0-100). Baseline 3.

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 names a specific verb ('work backwards') and describes the exact computation chain: from annual revenue goal through ACV and close rates down to monthly traffic and leads. An agent can tell this is a reverse-funnel planning calculator. It stops short of explicitly differentiating itself from the many closely related funnel/ACV siblings, so not a 5.

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?

No when-to-use guidance and no named alternatives despite a dense sibling field (acv_weight_planner, pipeline_velocity_equation_engine, conversion_funnel). Usage is only implied by the calculation described. Nothing tells the agent when this back-calculation is preferred over a forward-planning sibling.

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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