We study transition paths in energy landscapes over multicategorical Potts configurations using the mean-field approach introduced by Mauri et al. [Phys. Rev. Lett. 130, 158402 (2023)0031-900710.1103/PhysRevLett.130.158402]. Paths interpolate between two fixed configurations or are anchored at one extremity only. We characterize the properties of "good" transition paths realizing a trade-off between exploring low-energy regions in the landscape and being not too long, such as their entropy or the probability of escape from a region of the landscape. We unveil the existence of a phase transition separating a regime in which paths are stretched in between their anchors from another regime where paths can explore the energy landscape more globally to minimize the energy. This phase transition is first illustrated and studied in detail on a mathematically tractable Hopfield-Potts toy model, then studied in energy landscapes inferred from protein sequence data.