DTM.7:5.1 - A catalogue recommends descriptions instead of usable methods

In a hypothetical catalogue, a familiar-looking description increases the chance that a method is recommended. Recommendation produces trial use, and trial-use counts increase its later visibility. Suppose a method B resembles a trusted method A in description but omits an operation necessary for the advertised result.

The candidate loop is:

description similarity → recommendation → trial use
                       → visibility → more recommendation.

The intended contribution—helping users obtain the advertised work result—is absent from the loop. This is a diversion hypothesis, not yet a finding about a real catalogue.

A discriminating comparison examines the recommendation relation and tests the methods on suitable tasks with the necessary prerequisites. If descriptions do not affect access, the proposed first link is false. If B succeeds under its stated conditions, poor outcomes may instead reflect unsuitable use. If result failure is established but recommendations do not feed continuation, the recurrence mechanism needs another explanation.

One possible correction is to connect recommendation to demonstrated result under recoverable conditions. Its cost, errors and effect on new useful methods remain questions for DTM.8/.9. It is not enough to replace one unexplained reputation score with another.