diff --git a/packages/agents-a365-observability/src/tracing/scopes/ExecuteToolScope.ts b/packages/agents-a365-observability/src/tracing/scopes/ExecuteToolScope.ts
index a238c8ac..d787285a 100644
--- a/packages/agents-a365-observability/src/tracing/scopes/ExecuteToolScope.ts
+++ b/packages/agents-a365-observability/src/tracing/scopes/ExecuteToolScope.ts
@@ -4,7 +4,7 @@
 
 import { SpanKind } from '@opentelemetry/api';
 import { OpenTelemetryScope } from './OpenTelemetryScope';
-import { ToolCallDetails, AgentDetails, TenantDetails } from '../contracts';
+import { ToolCallDetails, AgentDetails, TenantDetails, SourceMetadata } from '../contracts';
 import { OpenTelemetryConstants } from '../constants';
 
 /**
@@ -16,13 +16,27 @@ export class ExecuteToolScope extends OpenTelemetryScope {
    * @param details The tool call details
    * @param agentDetails The agent details
    * @param tenantDetails The tenant details
+   * @param conversationId Optional conversation id to tag on the span (`gen_ai.conversation.id`).
+   * @param sourceMetadata Optional source metadata; only `name` (channel name) and `description` (channel link/URL) are used for tagging.
    * @returns A new ExecuteToolScope instance.
    */
-  public static start(details: ToolCallDetails, agentDetails: AgentDetails, tenantDetails: TenantDetails): ExecuteToolScope {
-    return new ExecuteToolScope(details, agentDetails, tenantDetails);
+  public static start(
+    details: ToolCallDetails,
+    agentDetails: AgentDetails,
+    tenantDetails: TenantDetails,
+    conversationId?: string,
+    sourceMetadata?: Pick<SourceMetadata, "name" | "description"> 
+  ): ExecuteToolScope {
+    return new ExecuteToolScope(details, agentDetails, tenantDetails, conversationId, sourceMetadata);
   }
 
-  private constructor(details: ToolCallDetails, agentDetails: AgentDetails, tenantDetails: TenantDetails) {
+  private constructor(
+    details: ToolCallDetails,
+    agentDetails: AgentDetails,
+    tenantDetails: TenantDetails,
+    conversationId?: string,
+    sourceMetadata?: Pick<SourceMetadata, "name" | "description">
+  ) {
     super(
       SpanKind.INTERNAL,
       OpenTelemetryConstants.EXECUTE_TOOL_OPERATION_NAME,
@@ -39,6 +53,10 @@ export class ExecuteToolScope extends OpenTelemetryScope {
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_TOOL_TYPE_KEY, toolType);
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_TOOL_CALL_ID_KEY, toolCallId);
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_TOOL_DESCRIPTION_KEY, description);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_CONVERSATION_ID_KEY, conversationId);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_NAME_KEY, sourceMetadata?.name);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_DESCRIPTION_KEY, sourceMetadata?.description);    
+
 
     // Set endpoint information if provided
     if (endpoint) {
diff --git a/packages/agents-a365-observability/src/tracing/scopes/InferenceScope.ts b/packages/agents-a365-observability/src/tracing/scopes/InferenceScope.ts
index cdf1e4a7..6f95527f 100644
--- a/packages/agents-a365-observability/src/tracing/scopes/InferenceScope.ts
+++ b/packages/agents-a365-observability/src/tracing/scopes/InferenceScope.ts
@@ -8,7 +8,8 @@ import { OpenTelemetryConstants } from '../constants';
 import {
   InferenceDetails,
   AgentDetails,
-  TenantDetails
+  TenantDetails,
+  SourceMetadata
 } from '../contracts';
 
 /**
@@ -20,13 +21,27 @@ export class InferenceScope extends OpenTelemetryScope {
    * @param details The inference call details
    * @param agentDetails The agent details
    * @param tenantDetails The tenant details
+   * @param conversationId Optional conversation id to tag on the span (`gen_ai.conversation.id`).
+   * @param sourceMetadata Optional source metadata; only `name` (channel name) and `description` (channel link/URL) are used for tagging.
    * @returns A new InferenceScope instance
    */
-  public static start(details: InferenceDetails, agentDetails: AgentDetails, tenantDetails: TenantDetails): InferenceScope {
-    return new InferenceScope(details, agentDetails, tenantDetails);
+  public static start(
+    details: InferenceDetails,
+    agentDetails: AgentDetails,
+    tenantDetails: TenantDetails,
+    conversationId?: string,
+    sourceMetadata?: Pick<SourceMetadata, "name" | "description">
+  ): InferenceScope {
+    return new InferenceScope(details, agentDetails, tenantDetails, conversationId, sourceMetadata);
   }
 
-  private constructor(details: InferenceDetails, agentDetails: AgentDetails, tenantDetails: TenantDetails) {
+  private constructor(
+    details: InferenceDetails,
+    agentDetails: AgentDetails,
+    tenantDetails: TenantDetails,
+    conversationId?: string,
+    sourceMetadata?: Pick<SourceMetadata, "name" | "description">
+  ) {
     super(
       SpanKind.CLIENT,
       details.operationName.toString(),
@@ -43,6 +58,9 @@ export class InferenceScope extends OpenTelemetryScope {
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_USAGE_OUTPUT_TOKENS_KEY, details.outputTokens?.toString());
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_RESPONSE_FINISH_REASONS_KEY, details.finishReasons?.join(','));
     this.setTagMaybe(OpenTelemetryConstants.GEN_AI_RESPONSE_ID_KEY, details.responseId);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_CONVERSATION_ID_KEY, conversationId);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_NAME_KEY, sourceMetadata?.name);
+    this.setTagMaybe(OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_DESCRIPTION_KEY, sourceMetadata?.description);    
   }
 
   /**
diff --git a/tests/observability/core/scopes.test.ts b/tests/observability/core/scopes.test.ts
index 50e8ff58..83cd160b 100644
--- a/tests/observability/core/scopes.test.ts
+++ b/tests/observability/core/scopes.test.ts
@@ -240,6 +240,35 @@ describe('Scopes', () => {
       expect(() => scope?.recordResponse('Tool result')).not.toThrow();
       scope?.dispose();
     });
+   
+    it('should set conversationId when provided', () => {
+      const spy = jest.spyOn(OpenTelemetryScope.prototype as any, 'setTagMaybe');
+      const scope = (ExecuteToolScope as unknown as any).start({ toolName: 'test-tool' }, testAgentDetails, testTenantDetails, 'conv-tool-123');
+      expect(scope).toBeInstanceOf(ExecuteToolScope);
+
+      const calls = spy.mock.calls.map(args => ({ key: args[0], val: args[1] }));
+      expect(calls).toEqual(expect.arrayContaining([
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_CONVERSATION_ID_KEY, val: 'conv-tool-123' })
+      ]));
+
+      scope?.dispose();
+      spy.mockRestore();
+    });
+
+    it('should set source metadata tags when provided', () => {
+      const spy = jest.spyOn(OpenTelemetryScope.prototype as any, 'setTagMaybe');
+      const scope = (ExecuteToolScope as unknown as any).start({ toolName: 'test-tool' }, testAgentDetails, testTenantDetails, undefined, { name: 'ChannelTool', description: 'https://channel/tool' });
+      expect(scope).toBeInstanceOf(ExecuteToolScope);
+
+      const calls = spy.mock.calls.map(args => ({ key: args[0], val: args[1] }));
+      expect(calls).toEqual(expect.arrayContaining([
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_NAME_KEY, val: 'ChannelTool' }),
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_DESCRIPTION_KEY, val: 'https://channel/tool' })
+      ]));
+
+      scope?.dispose();
+      spy.mockRestore();
+    });
   });
 
 
@@ -291,6 +320,44 @@ describe('Scopes', () => {
       scope?.dispose();
     });
 
+     it('should set conversationId when provided', () => {
+      const spy = jest.spyOn(OpenTelemetryScope.prototype as any, 'setTagMaybe');
+      const inferenceDetails: InferenceDetails = {
+        operationName: InferenceOperationType.CHAT,
+        model: 'gpt-4'
+      };
+
+      const scope = (InferenceScope as unknown as any).start(inferenceDetails, testAgentDetails, testTenantDetails, 'conv-inf-123');
+      expect(scope).toBeInstanceOf(InferenceScope);
+
+      const calls = spy.mock.calls.map(args => ({ key: args[0], val: args[1] }));
+      expect(calls).toEqual(expect.arrayContaining([
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_CONVERSATION_ID_KEY, val: 'conv-inf-123' })
+      ]));
+
+      scope?.dispose();
+      spy.mockRestore();
+    });
+
+    it('should set source metadata tags when provided', () => {
+      const spy = jest.spyOn(OpenTelemetryScope.prototype as any, 'setTagMaybe');
+      const inferenceDetails: InferenceDetails = {
+        operationName: InferenceOperationType.CHAT,
+        model: 'gpt-4'
+      };
+
+      const scope = (InferenceScope as unknown as any).start(inferenceDetails, testAgentDetails, testTenantDetails, undefined, { name: 'ChannelInf', description: 'https://channel/inf' });
+      expect(scope).toBeInstanceOf(InferenceScope);
+
+      const calls = spy.mock.calls.map(args => ({ key: args[0], val: args[1] }));
+      expect(calls).toEqual(expect.arrayContaining([
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_NAME_KEY, val: 'ChannelInf' }),
+        expect.objectContaining({ key: OpenTelemetryConstants.GEN_AI_EXECUTION_SOURCE_DESCRIPTION_KEY, val: 'https://channel/inf' })
+      ]));
+
+      scope?.dispose();
+      spy.mockRestore();
+    });
   });
 
   describe('Dispose pattern', () => {