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Rahul D Sarker: Marketing & RevOps Tools

Friction Point Identifier

friction_point_identifier
Read-onlyIdempotent

Count how many of 8 common conversion-flow friction points are present and turn that into a flow health score. See the full version at https://rahuldsarker.co/calculators/friction-point-identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forcedUpsellsYesForced upsells or interstitials mid-flow
noTrustSignalsYesNo trust/security signals at the point of entry
slowOrLaggyStepsYesSlow steps or laggy interactions
tooManyFormFieldsYesToo many form fields
noProgressIndicatorYesNo progress indicator on multi-step flows
unclearOrLateErrorsYesUnclear or late error messages
limitedPaymentOptionsYesLimited payment / wallet options
accountRequiredBeforeValueYesAccount required before purchase / value

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
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 that the input is a fixed set of 8 boolean friction flags and that the output is a derived 'flow health score', but it never discloses the score's scale, how many points map to which band, or anything about the return shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is tight and front-loaded with the verb and resource. The second sentence is purely a promotional link to an external calculator, which does not help an agent decide or invoke the tool and is dead weight under a conciseness standard.

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?

For an 8-required-boolean, read-only scoring tool with no output schema, the description covers the input contract adequately. However, with no output schema and no statement of the score's range or interpretation, the agent cannot describe the result to a user, leaving a real gap.

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 each of the 8 booleans individually documented (e.g. 'No progress indicator on multi-step flows'), so the schema does the heavy lifting. The description's '8 common conversion-flow friction points' confirms the count but adds no semantics beyond what the schema already states.

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 resource: count 8 conversion-flow friction points and convert them into a flow health score. This is clear and concrete, but it never distinguishes itself from nearby siblings such as mobile_checkout_friction_tester, form_field_friction_cost_calculator, or ae_sdr_hand_off_friction_calculator.

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 explicit when-to-use or when-not-to-use guidance and no named alternatives. The agent must infer from the phrase 'conversion-flow friction points' that this is a checkout/signup flow audit rather than an SDR hand-off or form-field audit, which is genuinely ambiguous among the friction-oriented siblings.

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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