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Rahul D Sarker: Marketing & RevOps Tools

Cart Abandonment Calculator

cart_abandonment_calculator
Read-onlyIdempotent

Calculate revenue lost to cart abandonment and how much a recovery flow could win back. See the full version at https://rahuldsarker.co/calculators/cart-abandonment-calculator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
avgOrderValueYesAverage order value
cartsPerMonthYesCarts created per month
recoveryRatePctYesRecovery rate from a win-back flow, as a percentage
abandonmentRatePctYesAbandonment rate, as a percentage (industry average is near 70%)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered and the description cannot contradict it. The description adds that this is a pure what-if calculation producing a loss and recovery figure, but says nothing about output format, units, or assumptions behind the estimate (e.g., whether recovery applies to all abandoned carts).

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 and efficient, naming both computed quantities in one clause. The trailing URL is mildly promotional filler but short and clearly separated from the functional statement.

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?

For a four-parameter, annotation-covered calculator with no output schema, the description conveys what the tool returns (lost revenue and recovery upside) and the schema documents every input. Only the absence of usage context and any note on assumptions keeps it from being fully self-sufficient.

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%, with per-field descriptions including a useful benchmark (industry average near 70%), so the schema carries the parameter semantics. The description adds no unit, range, or format guidance beyond what is already structured, matching the baseline 3 for a fully documented schema.

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?

States a specific verb and two concrete outputs: revenue lost to cart abandonment and the win-back opportunity from a recovery flow. That is far more informative than a tautological restatement of the name, though it never contrasts itself with near siblings such as mobile_checkout_friction_tester or conversion_funnel.

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 when-to-use framing, no prerequisites, and no alternatives; the second sentence is only a promotional link. An agent can infer this is an ecommerce revenue calculator, but nothing routes it here over a sibling tool.

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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