diff --git a/firebase-ai/CHANGELOG.md b/firebase-ai/CHANGELOG.md
index 0349e18949c..1d0f91db779 100644
--- a/firebase-ai/CHANGELOG.md
+++ b/firebase-ai/CHANGELOG.md
@@ -42,7 +42,7 @@
 
 - [feature] Added support for configuring the "thinking" budget when using Gemini 2.5 series models.
   (#6990)
-- [feature] **Breaking Change**: Add support for Grounding with Google Search (#7042).
+- [feature] **Breaking Change**: Add support for grounding with Google Search (#7042).
   - **Action Required:** Update all references of `groundingAttributions`, `webSearchQueries`,
     `retrievalQueries` in `GroundingMetadata` to be non-optional.
 - [changed] require at least one argument for `generateContent()`, `generateContentStream()` and
diff --git a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Candidate.kt b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Candidate.kt
index b7671aa0ccb..04cb9cc974a 100644
--- a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Candidate.kt
+++ b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Candidate.kt
@@ -297,7 +297,7 @@ public class FinishReason private constructor(public val name: String, public va
 /**
  * Metadata returned to the client when grounding is enabled.
  *
- * If using Grounding with Google Search, you are required to comply with the "Grounding with Google
+ * If using grounding with Google Search, you are required to comply with the "Grounding with Google
  * Search" usage requirements for your chosen API provider:
  * [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
  * Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section
diff --git a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/GoogleSearch.kt b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/GoogleSearch.kt
index 82d7967c1ce..b192c2d33f5 100644
--- a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/GoogleSearch.kt
+++ b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/GoogleSearch.kt
@@ -22,7 +22,7 @@ import kotlinx.serialization.Serializable
  * A tool that allows the generative model to connect to Google Search to access and incorporate
  * up-to-date information from the web into its responses.
  *
- * When using this feature, you are required to comply with the "Grounding with Google Search" usage
+ * When using this feature, you are required to comply with the "grounding with Google Search" usage
  * requirements for your chosen API provider:
  * [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
  * Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section
diff --git a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/HarmCategory.kt b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/HarmCategory.kt
index 43113e08104..871470f6a25 100644
--- a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/HarmCategory.kt
+++ b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/HarmCategory.kt
@@ -71,31 +71,34 @@ public class HarmCategory private constructor(public val ordinal: Int) {
     /** A new and not yet supported value. */
     @JvmField public val UNKNOWN: HarmCategory = HarmCategory(0)
 
-    /** Harassment content. */
+    /** Represents the harm category for content that is classified as harassment. */
     @JvmField public val HARASSMENT: HarmCategory = HarmCategory(1)
 
-    /** Hate speech and content. */
+    /** Represents the harm category for content that is classified as hate speech. */
     @JvmField public val HATE_SPEECH: HarmCategory = HarmCategory(2)
 
-    /** Sexually explicit content. */
+    /** Represents the harm category for content that is classified as sexually explicit content. */
     @JvmField public val SEXUALLY_EXPLICIT: HarmCategory = HarmCategory(3)
 
-    /** Dangerous content. */
+    /** Represents the harm category for content that is classified as dangerous content. */
     @JvmField public val DANGEROUS_CONTENT: HarmCategory = HarmCategory(4)
 
-    /** Content that may be used to harm civic integrity. */
+    /**
+     * Represents the harm category for content that is classified as content that may be used to
+     * harm civic integrity.
+     */
     @JvmField public val CIVIC_INTEGRITY: HarmCategory = HarmCategory(5)
 
-    /** Content that is image hate. */
+    /** Represents the harm category for image content that is classified as hateful. */
     @JvmField public val IMAGE_HATE: HarmCategory = HarmCategory(6)
 
-    /** Image dangerous content. */
+    /** Represents the harm category for image content that is classified as dangerous. */
     @JvmField public val IMAGE_DANGEROUS_CONTENT: HarmCategory = HarmCategory(7)
 
-    /** Content is image harassment. */
+    /** Represents the harm category for image content that is classified as harassment. */
     @JvmField public val IMAGE_HARASSMENT: HarmCategory = HarmCategory(8)
 
-    /** Image sexually explicit content. */
+    /** Represents the harm category for image content that is classified as sexually explicit. */
     @JvmField public val IMAGE_SEXUALLY_EXPLICIT: HarmCategory = HarmCategory(9)
   }
 }
diff --git a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Tool.kt b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Tool.kt
index d3a707cdbc5..471e58f50b5 100644
--- a/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Tool.kt
+++ b/firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Tool.kt
@@ -56,19 +56,19 @@ internal constructor(
       return Tool(functionDeclarations, null, null)
     }
 
-    /** Creates a [Tool] instance that allows the model to use Code Execution. */
+    /** Creates a [Tool] instance that allows the model to use code execution. */
     @JvmStatic
     public fun codeExecution(): Tool {
       return codeExecutionInstance
     }
 
     /**
-     * Creates a [Tool] instance that allows the model to use Grounding with Google Search.
+     * Creates a [Tool] instance that allows the model to use grounding with Google Search.
      *
      * Grounding with Google Search can be used to allow the model to connect to Google Search to
      * access and incorporate up-to-date information from the web into it's responses.
      *
-     * When using this feature, you are required to comply with the "Grounding with Google Search"
+     * When using this feature, you are required to comply with the "grounding with Google Search"
      * usage requirements for your chosen API provider:
      * [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search)
      * or Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms)