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Rahul D Sarker: Marketing & RevOps Tools

Lead Magnet Copy Grader

lead_magnet_copy_grader
Read-onlyIdempotent

Score a lead magnet's perceived opt-in value across five weighted criteria into a 0-100 score. See the full version at https://rahuldsarker.co/calculators/lead-magnet-copy-grader

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feelsCredibleYesFeels credible / worth an email (weight 15)
appealingFormatYesFormat is appealing, tool/template over PDF (weight 15)
deliversValueFastYesDelivers value fast, not a 40-page slog (weight 20)
relevantToIcpProblemYesDirectly relevant to your ICP's problem (weight 25)
specificTangibleOutcomeYesPromises a specific, tangible outcome (weight 25)

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 establish that this is a read-only, idempotent, non-destructive, closed-world operation, so the safety profile is covered. The description adds that scoring uses five weighted criteria producing a 0-100 score, but does not say whether the result includes per-criterion breakdown, pass/fail thresholds, or recommendations.

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, front-loaded with the core action and output range. The second sentence is an external marketing link that adds no invocation value, but the overall text stays short with no padding.

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?

With all five inputs fully documented in the schema and the return value characterized as a 0-100 score, an agent has what it needs to call the tool. No output schema exists, so the description carries the return-shape burden and does so only at a high level (no breakdown detail).

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% and each of the five enum parameters already documents its own meaning, accepted values, and weight. The phrase 'five weighted criteria' in the description merely restates what the schema already conveys, so 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?

The description names a specific verb and resource ('Score a lead magnet's perceived opt-in value') and states the output form ('0-100 score'), which is enough to identify the tool. It does not, however, differentiate itself from adjacent sibling graders such as value_prop_strength_grader or gtm_audit_scorecard.

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?

There is no guidance on when to use this tool versus the many other scoring graders in the family, and no prerequisites or input-preparation notes. The only implied usage is that the caller already has a lead magnet to evaluate.

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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