The useful version
A p-value tells you how unusual your data would be under a particular null model. That can be useful. It is a measure of surprise, assuming the null model and analysis plan are reasonable.
The dangerous version
The trouble starts when the p-value becomes a ritual. It does not measure importance, truth, practical value or replication probability. A tiny effect can be statistically significant in a huge sample. A meaningful effect can be uncertain in a small sample.
What to report alongside it
Effect sizes, uncertainty intervals, plots, sample sizes and design details usually matter more than the star next to a coefficient. Statistical evidence is a bundle, not a single magic number.