Clarify meta field completeness and validation requirements in meta.md, as suggested by validation analysis PDF

Author: arnavk23

docs/src/meta.md

@@ -8,10 +8,16 @@ using OptimizationProblems
 
 Each problem has its own metadata structure, and there is a global metadata structure regrouping all the information.
 
+> **Meta field completeness:**
+> All meta fields must be accurate and complete, including `nvar`, `ncon`, linear/nonlinear counts, bounds, minimize, feasibility ordering, origin, objtype, contype, and best-known bounds. Meta validation is enforced by the test suite. Incomplete or incorrect meta fields may cause solver failures or benchmarking errors.
+
 ## Problem's metadata
 
 Each problem's metadata is accessible with `OptimizationProblems.nameoftheproblem_meta` and regroups in a `Dict` most of the essential information regarding each problem.
 
+> **Meta validation:**
+> Meta fields are used for problem classification, filtering, and benchmarking. Ensure all fields are correct and consistent with the actual problem implementation. The test suite checks meta field accuracy.
+
 ```@example 1
 OptimizationProblems.AMPGO02_meta
 ```