diff --git a/DESCRIPTION b/DESCRIPTION
index b6601db..f91cee2 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -6,12 +6,14 @@ Authors@R: c(
     person('Paul', 'Boutros', role = 'cre', email = 'PBoutros@mednet.ucla.edu'),
     person('Nicole', 'Zeltser', role = 'aut', comment = c(ORCID = '0000-0001-7246-2771')),
     person('Rachel', 'Dang', role = 'ctb'))
-Description: This tool is intended to simply and transparently parse
-    genotype/dosage data from an input VCF, match genotype coordinates
-    to the component SNPs of an existing polygenic score, and apply
-    SNP weights to dosages to calculate a polygenic score for each
-    individual in accordance with the additive weighted sum of dosages
-    model.
+Description: Simple and transparent parsing of genotype/dosage data
+    from an input Variant Call Format (VCF) file, matching of genotype
+    coordinates to the component Single Nucleotide Polymorphisms (SNPs)
+    of an existing polygenic score (PGS), and application of SNP weights
+    to dosages for the calculation of a polygenic score for each individual
+    in accordance with the additive weighted sum of dosages model. Methods
+    are designed in reference to best practices described by
+    Collister, Liu, and Clifton (2022) <doi:10.3389/fgene.2022.818574>.
 Depends: 
     R (>= 4.2.0)
 Imports:
diff --git a/R/apply-pgs.R b/R/apply-pgs.R
index 2857701..bd33518 100644
--- a/R/apply-pgs.R
+++ b/R/apply-pgs.R
@@ -246,7 +246,7 @@ apply.polygenic.score <- function(
     validate.phenotype.data.input(phenotype.data = phenotype.data, phenotype.analysis.columns = phenotype.analysis.columns, vcf.data = vcf.data);
 
     if (validate.inputs.only) {
-        print('Input data passed validation\n');
+        message('Input data passed validation');
         return(TRUE);
         }
 
diff --git a/tests/testthat/test-pgs-application.R b/tests/testthat/test-pgs-application.R
index a83ef0f..c1431e7 100644
--- a/tests/testthat/test-pgs-application.R
+++ b/tests/testthat/test-pgs-application.R
@@ -210,6 +210,14 @@ test_that(
                 ),
             TRUE
             );
+        expect_message(
+            apply.polygenic.score(
+                vcf.data = simple.pgs.application.test.data$vcf.data,
+                pgs.weight.data = simple.pgs.application.test.data$pgs.weight.data,
+                validate.inputs.only = TRUE
+                ),
+            'Input data passed validation'
+            );
         }
     );