diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 16a3a22bc4876..c15610854f839 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -172,7 +172,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.errors.PerformanceWarning SA01" \
         -i "pandas.errors.PossibleDataLossError SA01" \
         -i "pandas.errors.PossiblePrecisionLoss SA01" \
-        -i "pandas.errors.SpecificationError SA01" \
         -i "pandas.errors.UndefinedVariableError PR01,SA01" \
         -i "pandas.errors.UnsortedIndexError SA01" \
         -i "pandas.errors.UnsupportedFunctionCall SA01" \
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index 46e090cc3a589..cf2a9d3f4a238 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -444,6 +444,11 @@ class SpecificationError(Exception):
     The second way is calling ``agg`` on a Dataframe with duplicated functions
     names without assigning column name.
 
+    See Also
+    --------
+    DataFrame.agg : Aggregate using one or more operations over the specified axis.
+    Series.agg : Aggregate using one or more operations over the specified axis.
+
     Examples
     --------
     >>> df = pd.DataFrame({"A": [1, 1, 1, 2, 2], "B": range(5), "C": range(5)})