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Rahul D Sarker: Marketing & RevOps Tools

Data Enrichment Value Predictor

data_enrichment_value_predictor
Read-onlyIdempotent

Compare the cost of manual rep research against an enrichment tool subscription, and calculate the net monthly savings and ROI. See the full version at https://rahuldsarker.co/calculators/data-enrichment-value-predictor

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hourlyCostYesFully-loaded hourly cost per rep
minutesPerLeadYesMinutes per lead spent on manual research
toolCostPerMonthYesEnrichment tool cost per month
repsDoingResearchYesReps doing manual research
leadsResearchedPerWeekYesLeads researched per week, per rep

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, and destructiveHint=false, so the safe, deterministic nature of the operation is covered. The description adds no behavioral context beyond the calculation itself, e.g. return format or units, but for a pure calculator with full annotation coverage this is acceptable.

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 core purpose is front-loaded in the first sentence with zero filler. The trailing external URL does not aid an agent in selecting or invoking the tool, so it is mildly wasteful rather than harmful.

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 simple, fully-specified five-input calculator with no output schema and complete annotation coverage, the description conveys enough to invoke it. Only the absence of guidance on interpreting the resulting ROI figure keeps it short of a 5.

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 five inputs (reps, leads/week, minutes/lead, hourly cost, tool cost) are documented in the schema. The description adds no syntax, units, or range meaning beyond that, so the baseline 3 applies.

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 set of actions (compare manual research cost vs enrichment tool subscription, calculate net monthly savings and ROI) on a concrete resource. An agent can tell it computes an ROI/savings figure, though it does not explicitly disambiguate from other ROI calculators in the sibling list.

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 guidance on when to use this versus alternatives such as crm_cleanup_roi_calculator or other ROI tools. It mentions no inputs prerequisites or scenarios, leaving the agent to infer fit from the name alone.

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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