Test cases for tool-using agents in Agentic AI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a tool-using agent in AI?

A tool-using agent is an AI system designed to use external tools or resources to complete tasks beyond its built-in capabilities, like calling APIs or running code.

beginner

Why are test cases important for tool-using agents?

Test cases help verify that the agent correctly uses tools, handles errors, and produces expected results, ensuring reliability and safety.

intermediate

Name one key aspect to test in a tool-using agent.

One key aspect is the agent's ability to correctly interpret when and how to use a tool for a given task.

intermediate

What should a test case for error handling in a tool-using agent check?

It should check if the agent detects tool failures, recovers gracefully, and provides meaningful feedback or fallback actions.

beginner

Give an example of a test case scenario for a tool-using agent.

Testing if the agent correctly calls a calculator tool to solve '5 + 7' and returns '12' as the answer.

What is the main purpose of test cases for tool-using agents?

A To check if the agent uses tools correctly

B To train the agent on new data

C To speed up the agent's responses

D To reduce the agent's memory usage

Test cases verify that the agent uses tools correctly and reliably.

Which of these is NOT a focus in testing tool-using agents?

A Error handling when tools fail

B Agent's physical appearance

C Tool invocation accuracy

D Correct output after using tools

The agent's physical appearance is irrelevant to tool-using agent testing.

If a tool returns an error, what should a well-tested agent do?

A Ignore the error and continue

B Crash immediately

C Handle the error gracefully and inform the user

D Restart the entire system

Good agents handle errors gracefully and provide feedback.

Which test case would check if the agent uses the right tool for a math problem?

A Tool selection test

B Performance test

C Security test

D User interface test

Tool selection tests verify the agent picks the correct tool.

What is a simple example of a tool-using agent test case?

A Agent changes its voice tone

B Agent stores user passwords

C Agent updates its software automatically

D Agent solves '5 + 7' using a calculator tool

Testing math problem solving with a calculator tool is a basic test case.

Explain why testing error handling is critical for tool-using agents.

Think about what happens if a tool stops working.

Describe how you would design a test case to check if an agent uses the correct tool for a task.

Focus on input, tool choice, and output verification.

Practice

1. What is the main purpose of writing test cases for tool-using agents?

easy

A. To add more tools to the agent

B. To make agents run faster

C. To check if agents use tools correctly and handle errors

D. To reduce the size of the agent's code

Solution

1. Step 1: Understand the role of test cases

   Test cases are designed to verify that the agent behaves as expected, especially when using tools.

2. Step 2: Identify the main goal for tool-using agents

   For agents that use tools, tests ensure they use these tools correctly and handle any errors gracefully.

3. Final Answer:

   To check if agents use tools correctly and handle errors -> Option C

4. Quick Check:

   Test cases purpose = check tool use and errors [OK]

Hint: Test cases verify correct tool use and error handling [OK]

Common Mistakes:

• Thinking test cases speed up agents
• Believing test cases reduce code size
• Assuming test cases add tools

2. Which of the following is the correct way to write a test case for a tool-using agent in Python?

easy

A. test agent tool: assert agent.use_tool('calculator', '2+2') == 4

B. def test_agent_tool(): assert agent.use_tool('calculator', '2+2') == 4

C. def test_agent_tool: assert agent.use_tool('calculator', '2+2') == 4

D. def test_agent_tool() assert agent.use_tool('calculator', '2+2') == 4

Solution

1. Step 1: Check Python function syntax

   Python test functions start with 'def', have parentheses, and a colon at the end.

2. Step 2: Verify assertion syntax

   The assert statement must be inside the function and correctly compare expected output.

3. Final Answer:

   def test_agent_tool(): assert agent.use_tool('calculator', '2+2') == 4 -> Option B

4. Quick Check:

   Correct Python test function syntax = def test_agent_tool(): assert agent.use_tool('calculator', '2+2') == 4 [OK]

Hint: Remember Python functions need parentheses and colon [OK]

Common Mistakes:

• Omitting parentheses in function definition
• Missing colon after function header
• Incorrect assert statement placement

3. Given this test case code snippet, what will be the output if the agent returns 5 instead of 4?

def test_agent_tool():
    result = agent.use_tool('calculator', '2+2')
    assert result == 4
    print('Test passed')

medium

A. Test passed

B. SyntaxError

C. No output

D. AssertionError

Solution

1. Step 1: Understand assert behavior

   If the assert condition is false, Python raises an AssertionError and stops execution.

2. Step 2: Check the test condition

   The test expects result == 4, but agent returns 5, so assert fails.

3. Final Answer:

   AssertionError -> Option D

4. Quick Check:

   Assert fails if values differ = AssertionError [OK]

Hint: Assert fails if expected and actual differ [OK]

Common Mistakes:

• Thinking print runs after failed assert
• Confusing AssertionError with SyntaxError
• Assuming no output on failure

4. Identify the error in this test case for a tool-using agent:

def test_agent_tool():
    result = agent.use_tool('search', 'weather today')
    assert result = 'sunny'
    print('Test passed')

medium

A. Using '=' instead of '==' in assert

B. Missing parentheses in print

C. Wrong function name

D. Agent tool name is invalid

Solution

1. Step 1: Check assert statement syntax

   In Python, '=' is for assignment, '==' is for comparison. Assert needs '==' to compare values.

2. Step 2: Verify other parts

   Print has parentheses, function name is valid, and tool name is plausible.

3. Final Answer:

   Using '=' instead of '==' in assert -> Option A

4. Quick Check:

   Assert needs '==' for comparison [OK]

Hint: Assert compares with '==', not '=' [OK]

Common Mistakes:

• Confusing assignment '=' with comparison '=='
• Ignoring syntax errors in assert
• Assuming print needs no parentheses

5. You want to test an agent that uses a calculator tool to handle multiple expressions. Which test case best checks if the agent correctly handles both valid and invalid inputs?

hard

A. def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', 'abc') == 'error'

B. def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', '3/0') == 0

C. def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', '') == ''

D. def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', null) == null"

Solution

1. Step 1: Check valid input test

   All options test '3*3' == 9 correctly, which is good for valid input.

2. Step 2: Check invalid input handling

   def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', 'abc') == 'error' expects 'abc' input to return 'error', which correctly tests error handling. Others expect incorrect or unclear outputs.

3. Final Answer:

   def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', 'abc') == 'error' -> Option A

4. Quick Check:

   Test valid and invalid inputs properly = def test_calc(): assert agent.use_tool('calculator', '3*3') == 9; assert agent.use_tool('calculator', 'abc') == 'error' [OK]

Hint: Test both valid and invalid inputs explicitly [OK]

Common Mistakes:

• Expecting wrong output for invalid input
• Not testing error cases
• Assuming empty or null inputs return themselves