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Newsletter sponsorship break-even calculator

toolfound_sponsorship_break_even
Read-onlyIdempotent

Estimate the clicks, signups, and customers needed to recover a sponsorship cost from your own funnel assumptions. Returns an evidence-bounded result and the canonical web tool URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
costYes
marginYes
revenueYes
signupRateYes
customerRateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
linksYes
errorsNo
summaryYes
sectionsYes
canonical_result_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already establish this as a safe, idempotent, closed-world read, so the description need not restate safety. It adds some value by characterizing the result as 'evidence-bounded' and noting a canonical web tool URL is returned, but it omits any detail about the underlying calculation, rounding, or how edge cases are handled.

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 tight sentences with the core function front-loaded and no filler. Nothing is wasted, though it is perhaps slightly under-specified rather than over-specified.

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

Completeness2/5

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

An output schema exists, so return-value explanation is not required, but with five undocumented string parameters at 0% schema coverage the description should carry the input-format burden and does not. For a calculator whose correctness depends entirely on unit conventions, this leaves a meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and all five required parameters are untyped strings, so the schema provides no guidance on units or format. The description does not compensate: it names output concepts (clicks, signups, customers) rather than input fields, leaving critical ambiguity such as whether margin/signupRate/customerRate are percentages or decimals and whether cost/revenue include currency symbols.

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 (estimate) and the exact outputs (clicks, signups, customers needed to recover a sponsorship cost), so an agent knows precisely what computation this performs. It is not differentiated against any sibling, but no sibling in the list performs sponsorship break-even math, so the risk of confusion is low.

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

Usage Guidelines3/5

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

'from your own funnel assumptions' implicitly signals a prerequisite (you must supply your own conversion data), which is a mild usage hint. However, there is no explicit when-to-use, when-not-to-use, or alternative tool guidance, leaving the agent to infer context.

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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