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Rahul D Sarker: Marketing & RevOps Tools

LinkedIn Ad Cost Threshold Calculator

linkedin_ad_cost_threshold_calculator
Read-onlyIdempotent

Calculate implied CAC from LinkedIn CPC, landing conversion, and close rate, and check it against the maximum CAC a contract can fund. See the full version at https://rahuldsarker.co/calculators/linkedin-ad-cost-threshold-calculator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cpcYesLinkedIn cost per click
closeRatePctYesLead-to-customer close rate, as a percentage
contractValueYesContract value
grossMarginPctYesGross margin, as a percentage
landingConvPctYesLanding page conversion rate, as a percentage

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 safety profile is covered. The description adds the calculation logic (implied CAC vs. fundable max CAC) but says nothing about the returned values or units, which matters given there is no output schema.

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 with the core computation front-loaded and no padding. The trailing external link is slightly promotional but does not obscure the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should clarify what the tool returns; it only loosely implies an implied-CAC figure and a threshold comparison. For a deterministic five-parameter calculator this is adequate but leaves the return shape underspecified.

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 parameters (including grossMarginPct) are already documented in the schema. The description names four of the inputs in prose and implies grossMarginPct via 'maximum CAC a contract can fund,' but adds no syntax or unit detail beyond the schema. 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 verb+resource: it computes implied CAC from LinkedIn CPC, landing conversion, and close rate, then compares it to the maximum CAC a contract can fund. The LinkedIn channel focus distinguishes it from generic siblings like cpl_cpa_calculator or ltv_cac_calculator, though it never explicitly names those alternatives.

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 guidance, no prerequisites, and no exclusions relative to the many adjacent CAC/CPC calculators in the sibling list. The only 'guidance' is a pointer to an external full version, which is promotional rather than operational.

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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