diff --git a/src/finn/analysis/fpgadataflow/hls_synth_res_estimation.py b/src/finn/analysis/fpgadataflow/hls_synth_res_estimation.py
index ff20adce6c513c212059373823ebf3aaf76b8cea..fe07b92a19683c035db6d710c8e58b6796555935 100644
--- a/src/finn/analysis/fpgadataflow/hls_synth_res_estimation.py
+++ b/src/finn/analysis/fpgadataflow/hls_synth_res_estimation.py
@@ -7,7 +7,7 @@ import finn.util.basic as util
 
 def hls_synth_res_estimation(model):
     """Extracts the results from the vivado synthesis.
-    Returns {node name : resource estimation}"""
+    Returns {node name : resource estimation}."""
 
     res_dict = {}
     for node in model.graph.node:
diff --git a/src/finn/analysis/fpgadataflow/res_estimation.py b/src/finn/analysis/fpgadataflow/res_estimation.py
index eb2d81037774fe7f888c2b3f547da9288b2201e9..27ad91b857316c533b35621cfd51a8262d61f94b 100644
--- a/src/finn/analysis/fpgadataflow/res_estimation.py
+++ b/src/finn/analysis/fpgadataflow/res_estimation.py
@@ -4,7 +4,7 @@ import finn.util.basic as util
 
 def res_estimation(model):
     """Estimates the resources needed for the given model.
-    Returns {node name : resource estimation}"""
+    Returns {node name : resource estimation}."""
 
     res_dict = {}
     for node in model.graph.node:
diff --git a/src/finn/analysis/topology.py b/src/finn/analysis/topology.py
index 9150e2b118cc9e17464e5c9866f83005576d40df..8f8d426dc4e1cbbae40c1976605c32f71599ef5f 100644
--- a/src/finn/analysis/topology.py
+++ b/src/finn/analysis/topology.py
@@ -4,7 +4,7 @@ import numpy as np
 def is_linear(model):
     """Checks whether the given model graph is linear. This is done by looking
     at the fan-out of each tensor. All tensors have a fan-out <= 1 in a linear
-    graph. Returns {"is_linear", Bool}"""
+    graph. Returns {"is_linear": Bool}."""
     per_tensor_fanouts = get_per_tensor_fanouts(model)
     # check for tensors that have fanout > 1
     multi_fanouts = list(filter(lambda x: x[1] > 1, per_tensor_fanouts.items()))
@@ -12,7 +12,7 @@ def is_linear(model):
 
 
 def get_per_tensor_fanouts(model):
-    """Returns a dictionary of (tensor_name, tensor_fanout) for the model."""
+    """Returns a dictionary of {tensor_name: tensor_fanout} for the model."""
     # make execution context to get a list of tensors
     per_tensor_fanouts = model.make_empty_exec_context()
     # replace every tensor with its fanout
@@ -23,7 +23,7 @@ def get_per_tensor_fanouts(model):
 
 def all_tensors_f32(model):
     """Checks whether all tensors have a float32 dtype, extra quantization
-    annotations notwithstanding."""
+    annotations notwithstanding. Returns {"all_tensors_f32": Bool}."""
     all_tensors = model.make_empty_exec_context().items()
     non_f32_tensors = filter(lambda x: x[1].dtype != np.float32, all_tensors)
     return {"all_tensors_f32": len(list(non_f32_tensors)) == 0}
@@ -33,7 +33,8 @@ def node_inputs_in_expected_order(model):
     """Verifies that the node inputs are ordered in the way that FINN expects
     them. When a node has a mixture of static (= constant, initialized) inputs
     and dynamic inputs, the dynamic input should come first, followed by the
-    static one. Only verifiable for a small subset of op_types for now."""
+    static one. Only verifiable for a small subset of op_types for now. Returns 
+    {"node_inputs_in_expected_order": Bool}."""
     op_types = ["MatMul", "Conv", "Add", "Mul"]
     nodes = filter(lambda x: x.op_type in op_types, model.graph.node)
     all_OK = True
diff --git a/src/finn/analysis/verify_custom_nodes.py b/src/finn/analysis/verify_custom_nodes.py
index 73d7ae590ac69226516ee1bf308ca6c2fbb41ce1..e49a0e77495a2d2daffbfb1eac010e656d183a8f 100644
--- a/src/finn/analysis/verify_custom_nodes.py
+++ b/src/finn/analysis/verify_custom_nodes.py
@@ -4,7 +4,8 @@ import finn.custom_op.registry as registry
 def verify_nodes(model):
     """Checks if custom ops in graph are correctly built, with all attributes
     and inputs. Returns {node op_type : info_messages}
-    *info_messages is list of strings about the result of the verification"""
+    
+    * info_messages: is list of strings about the result of the verification."""
 
     verification_dict = {}
     for node in model.graph.node: