fix: Convert examples for A2A agent card

Merge https://github.com/google/adk-python/pull/3999

The AgentSkill in an A2A AgentCard expects examples to be a list of queries as strings. Therefore, agent examples, e.g., as provided by an ExampleTool, must be converted.

This change performs that extraction of just the inputs and converting them to a string to add to the AgentSkill.

### Testing Plan

**Unit Tests:**

- [x] I have added or updated unit tests for my change.
- [x] All unit tests pass locally.

**Manual End-to-End (E2E) Tests:**

Create an agent with ExampleTool and use agent card builder to create agent card for that agent. Fails without this change, succeeds with change included.

### Checklist

- [x] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document.
- [x] I have performed a self-review of my own code.
- [x] I have commented my code, particularly in hard-to-understand areas.
- [x] I have added tests that prove my fix is effective or that my feature works.
- [x] New and existing unit tests pass locally with my changes.
- [x] I have manually tested my changes end-to-end.
- [x] Any dependent changes have been merged and published in downstream modules.

Co-authored-by: Xiang (Sean) Zhou <seanzhougoogle@google.com>
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3999 from timn:timn/fix-a2a-examples-from-tool 34c727c3311d2ec945efa3eec652d9e28b6ae2a9
PiperOrigin-RevId: 855288587

src/google/adk/a2a/utils/agent_card_builder.py

@@ -114,7 +114,7 @@ async def _build_llm_agent_skills(agent: LlmAgent) -> List[AgentSkill]:
           id=agent.name,
           name='model',
           description=agent_description,
-          examples=agent_examples,
+          examples=_extract_inputs_from_examples(agent_examples),
           input_modes=_get_input_modes(agent),
           output_modes=_get_output_modes(agent),
           tags=['llm'],
@@ -239,7 +239,7 @@ async def _build_non_llm_agent_skills(agent: BaseAgent) -> List[AgentSkill]:
           id=agent.name,
           name=agent_name,
           description=agent_description,
-          examples=agent_examples,
+          examples=_extract_inputs_from_examples(agent_examples),
           input_modes=_get_input_modes(agent),
           output_modes=_get_output_modes(agent),
           tags=[agent_type],
@@ -350,6 +350,7 @@ def _build_llm_agent_description_with_instructions(agent: LlmAgent) -> str:
 
 def _replace_pronouns(text: str) -> str:
   """Replace pronouns and conjugate common verbs for agent description.
+
   (e.g., "You are" -> "I am", "your" -> "my").
   """
   pronoun_map = {
@@ -460,6 +461,33 @@ def _get_default_description(agent: BaseAgent) -> str:
   return 'A custom agent'
 
 
+def _extract_inputs_from_examples(examples: Optional[list[dict]]) -> list[str]:
+  """Extracts only the input strings so they can be added to an AgentSkill."""
+  if examples is None:
+    return []
+
+  extracted_inputs = []
+  for example in examples:
+    example_input = example.get('input')
+    if not example_input:
+      continue
+
+    parts = example_input.get('parts')
+    if parts is not None:
+      part_texts = []
+      for part in parts:
+        text = part.get('text')
+        if text is not None:
+          part_texts.append(text)
+      extracted_inputs.append('\n'.join(part_texts))
+    else:
+      text = example_input.get('text')
+      if text is not None:
+        extracted_inputs.append(text)
+
+  return extracted_inputs
+
+
 async def _extract_examples_from_agent(
     agent: BaseAgent,
 ) -> Optional[List[Dict]]:

tests/unittests/a2a/utils/test_agent_card_builder.py

@@ -28,6 +28,7 @@ from google.adk.a2a.utils.agent_card_builder import _build_parallel_description
 from google.adk.a2a.utils.agent_card_builder import _build_sequential_description
 from google.adk.a2a.utils.agent_card_builder import _convert_example_tool_examples
 from google.adk.a2a.utils.agent_card_builder import _extract_examples_from_instruction
+from google.adk.a2a.utils.agent_card_builder import _extract_inputs_from_examples
 from google.adk.a2a.utils.agent_card_builder import _get_agent_skill_name
 from google.adk.a2a.utils.agent_card_builder import _get_agent_type
 from google.adk.a2a.utils.agent_card_builder import _get_default_description
@@ -41,6 +42,7 @@ from google.adk.agents.llm_agent import LlmAgent
 from google.adk.agents.loop_agent import LoopAgent
 from google.adk.agents.parallel_agent import ParallelAgent
 from google.adk.agents.sequential_agent import SequentialAgent
+from google.adk.examples import Example
 from google.adk.tools.example_tool import ExampleTool
 import pytest
 
@@ -1100,3 +1102,73 @@ class TestExampleExtractionFunctions:
     assert len(result) == 1  # Only complete pairs should be included
     assert result[0]["input"] == {"text": "What is the weather?"}
     assert result[0]["output"] == [{"text": "What time is it?"}]
+
+  def test_extract_inputs_from_examples_from_plain_text_input(self):
+    """Test _extract_inputs_from_examples on plain text as input."""
+    # Arrange
+    examples = [
+        {
+            "input": {"text": "What is the weather?"},
+            "output": [{"text": "What time is it?"}],
+        },
+        {
+            "input": {"text": "The weather is sunny."},
+            "output": [{"text": "It is 3 PM."}],
+        },
+    ]
+
+    # Act
+    result = _extract_inputs_from_examples(examples)
+
+    # Assert
+    assert len(result) == 2
+    assert result[0] == "What is the weather?"
+    assert result[1] == "The weather is sunny."
+
+  def test_extract_inputs_from_examples_from_example_tool(self):
+    """Test _extract_inputs_from_examples as extracted from ExampleTool."""
+
+    # Arrange
+    # This is what would be extracted from an ExampleTool
+    examples = [
+        {
+            "input": {
+                "role": "user",
+                "parts": [{"text": "What is the weather?"}],
+            },
+            "output": [
+                {
+                    "role": "model",
+                    "parts": [{"text": "What time is it?"}],
+                },
+            ],
+        },
+        {
+            "input": {
+                "role": "user",
+                "parts": [{"text": "The weather is sunny."}],
+            },
+            "output": [
+                {
+                    "role": "model",
+                    "parts": [{"text": "It is 3 PM."}],
+                },
+            ],
+        },
+    ]
+
+    # Act
+    result = _extract_inputs_from_examples(examples)
+
+    # Assert
+    assert len(result) == 2
+    assert result[0] == "What is the weather?"
+    assert result[1] == "The weather is sunny."
+
+  def test_extract_inputs_from_examples_none_input(self):
+    """Test _extract_inputs_from_examples on None as input."""
+    # Act
+    result = _extract_inputs_from_examples(None)
+
+    # Assert
+    assert len(result) == 0