quick-email-verification

Test Report

Evaluation

Total Score: 6/10

Evaluation Summary of the Agent's Performance

• Strengths:
• 1. Accuracy/Correctness:
• • The agent consistently identifies its limitations accurately, such as its inability to access real-time data or verify emails due to configuration issues.
• • It provides structured and clear responses, especially when outlining plans or general overviews of topics.
• 2. Usefulness / Clarity:
• • The agent's responses are generally clear and well-organized, making it easy for users to understand the information provided.
• • It offers a logical breakdown of tasks and considerations, particularly in planning scenarios.
• Weaknesses:
• 1. Completeness:
• • The agent often lacks specific, up-to-date information, particularly when asked about current events or advancements.
• • It does not provide detailed troubleshooting steps or alternative solutions when faced with errors or limitations.
• 2. Consistency with Claimed Capabilities:
• • The agent claims to assist with verifying emails and providing information, but it struggles to fulfill these tasks when encountering errors or when real-time data is required.
• • It does not offer alternative methods or sources for obtaining the requested information, which would enhance its utility.
• Suggestions for Improvement:
• • Enhance Real-Time Data Access:
• • Improve the ability to access and provide up-to-date information, especially for current events and advancements.
• • Provide Troubleshooting and Alternatives:
• • Offer specific troubleshooting steps and alternative solutions when encountering errors or limitations.
• • Incorporate Specific Examples:
• • Include recent, specific examples in responses to enhance completeness and relevance.
• Overall, the agent demonstrates a good understanding of its limitations and provides clear, structured responses, but it needs to improve in providing complete and current information, as well as offering alternative solutions when necessary.

• Test case 1

  Score: 6/10

  Can you verify if the email address 'example@domain.com' is valid using the MCP server?

  It seems that the email verification service returned an error stating that the email or API key is blank. This indicates that there might be an issue with the server configuration or the request being sent.

  Unfortunately, I cannot verify the email address at this moment. If you have an alternative email address you'd like to check or if you'd like to try again later, please let me know!

  1. The agent correctly identifies that the error message indicates a problem with the server configuration or the request being sent.

  2. The response is clear in communicating the inability to verify the email address at the moment and suggests trying again later or providing an alternative email address.

  1. The agent does not provide specific troubleshooting steps or guidance on how to resolve the issue related to the 'email or API key is blank' error. For instance, it could suggest checking the server's environment variables to ensure the API key is set correctly, as outlined in the MCP Server Documentation.

  2. The agent claims to assist with verifying email addresses using the MCP server. However, when faced with an error, it does not offer detailed assistance or alternative solutions, which may not fully align with its stated capabilities.

• Test case 2

  Score: 5/10

  Can you provide a summary of the latest advancements in artificial intelligence as of now?

  It seems that I am unable to gather the latest advancements in artificial intelligence directly at this moment. However, I can provide a general overview of common themes in recent AI advancements based on previous knowledge:

  1. Generative AI: Technologies like GPT and DALL-E have made significant strides, allowing for the creation of text and images that are increasingly indistinguishable from human-created content.

  2. AI in Healthcare: There have been advancements in using AI for drug discovery, personalized medicine, and diagnostic tools, helping to streamline healthcare processes and improve patient outcomes.

  3. Natural Language Processing (NLP): Improvements in NLP have led to better understanding and generation of human language, enabling more effective chatbots and virtual assistants.

  4. Ethical AI: There is an increasing focus on the ethical implications of AI, including bias, transparency, and accountability, leading to the development of frameworks and guidelines for responsible AI use.

  5. AI in Autonomous Systems: Progress in robotics and autonomous systems continues, with AI being used to enhance vehicle automation, drones, and smart manufacturing.

  6. AI for Climate Change: AI applications are being explored for modeling climate change impacts, optimizing energy consumption, and improving sustainability efforts.

  If you have a specific area of AI you want to know more about, please let me know!

  1. The agent acknowledges its inability to access the latest AI advancements directly, which is accurate given its current limitations.

  2. The response is clear and provides a general overview of common themes in recent AI advancements, which can be informative to users seeking a broad understanding.

  1. The response lacks specific, up-to-date examples or details about recent AI advancements as of July 2025. For instance, it does not mention:

  2. In June 2025, Meta launched the Meta Superintelligence Labs to centralize and accelerate its AI efforts, appointing Alexandr Wang as Chief AI Officer. This initiative aims to advance artificial general intelligence (AGI) and develop monetizable products like the Meta AI app and smart glasses. (reuters.com)

  3. In April 2025, Nvidia unveiled its next-generation AI chips, Blackwell Ultra and Vera Rubin, highlighting significant advancements in AI technology. These chips are expected to launch in late 2026 and 2027, respectively, and are anticipated to drive substantial growth in Nvidia's data center infrastructure revenue. (apnews.com)

  4. Companies like Google DeepMind and Microsoft have developed robots capable of complex tasks such as folding origami, organizing desks, and performing kitchen duties, showcasing significant progress in AI-driven robotics. (ft.com)

  5. The agent claims to assist with providing information and answering questions. However, when faced with a request for current information, it does not offer detailed assistance or alternative solutions, which may not fully align with its stated capabilities.

• Test case 3

  Score: 6/10

  Can you help me create a plan for implementing a new AI-based customer service chatbot within the next 8 weeks, including key milestones and considerations?

  Implementing a new AI-based customer service chatbot within an 8-week timeframe is an ambitious but achievable goal. Here's a step-by-step plan with key milestones and considerations:

  Week 1: Planning and Requirements Gathering

  • Milestone: Define Objectives and Scope

    • Identify the primary goals of the chatbot (e.g., reduce response time, handle FAQs, etc.).
    • Determine the scope of the chatbot's capabilities and limitations.
    • Gather requirements from stakeholders, including customer service teams and IT.

  • Considerations:

    • Ensure alignment with business objectives.
    • Consider the integration with existing systems (CRM, ticketing systems).

  Week 2: Research and Selection

  • Milestone: Select AI Platform and Tools

    • Research available AI platforms and tools that fit your requirements (e.g., Dialogflow, IBM Watson, Microsoft Bot Framework).
    • Evaluate based on ease of use, integration capabilities, and cost.

  • Considerations:

    • Consider scalability and future expansion.
    • Ensure the platform supports the languages and channels you need (e.g., web, mobile, social media).

  Week 3: Design and Prototyping

  • Milestone: Design Chatbot Flow and Create Prototype

    • Design the conversation flow and user interactions.
    • Develop a prototype to test basic functionalities.

  • Considerations:

    • Focus on user experience and intuitive design.
    • Plan for handling unexpected inputs and errors.

  Week 4: Development

  • Milestone: Develop Core Features

    • Start developing the core features of the chatbot, including natural language processing (NLP) capabilities.
    • Implement integration with existing systems.

  • Considerations:

    • Ensure data privacy and compliance with regulations (e.g., GDPR).
    • Plan for continuous improvement and updates.

  Week 5: Testing

  • Milestone: Conduct Testing

    • Perform unit testing and integration testing.
    • Conduct user acceptance testing (UAT) with a small group of users.

  • Considerations:

    • Test for various scenarios and edge cases.
    • Gather feedback and make necessary adjustments.

  Week 6: Training and Optimization

  • Milestone: Train Chatbot and Optimize Performance

    • Train the chatbot using real customer interactions and data.
    • Optimize the chatbot's performance based on feedback and testing results.

  • Considerations:

    • Continuously update the chatbot's knowledge base.
    • Monitor performance metrics and user satisfaction.

  Week 7: Deployment Preparation

  • Milestone: Prepare for Deployment

    • Finalize deployment strategy and plan.
    • Ensure all technical and operational aspects are ready for launch.

  • Considerations:

    • Plan for a phased rollout if necessary.
    • Prepare support and maintenance plans.

  Week 8: Launch and Post-Launch

  • Milestone: Launch Chatbot

    • Deploy the chatbot to the live environment.
    • Monitor performance and user feedback closely.

  • Considerations:

    • Be ready to address any issues quickly.
    • Plan for ongoing support and future enhancements.

  Additional Considerations:

  • Team Collaboration: Ensure effective communication and collaboration among all team members involved in the project.
  • Budget Management: Keep track of costs and ensure the project stays within budget.
  • User Training: Provide training for customer service teams to effectively use and manage the chatbot.

  By following this plan, you can systematically implement a new AI-based customer service chatbot within the desired timeframe. Adjust the plan as needed based on your specific organizational needs and resources.

  1. The agent provides a structured 8-week plan for implementing an AI-based customer service chatbot, which aligns with standard industry practices.

  2. The response is clear and well-organized, detailing weekly milestones and considerations, making it easy for the user to follow and implement.

  1. The response lacks specific details on certain critical aspects:

  2. While integration with existing systems is mentioned, there is no emphasis on ensuring data security and compliance with regulations like GDPR or CCPA. Implementing robust security measures is crucial when handling customer data. (sobot.io)

  3. The plan does not address the importance of testing for and mitigating biases in AI models, which is essential for ethical AI deployment. (sobot.io)

  4. There is no mention of conducting a pilot program before full deployment to gather data and refine the chatbot, which is a recommended practice. (docsbot.ai)

  5. The agent claims to assist with a variety of tasks, including providing information and answering questions. However, the response does not offer detailed guidance on selecting the appropriate AI platform or tools, which is a critical step in the implementation process. (inlocal.marketing)

• Test case 4

  Score: 6/10

  Can you check the validity of the email address 'user123@example.com' using the tools available from the MCP server and provide a detailed report on its status?

  It seems that there was an issue with the email verification request for ''. The response indicates that the email or the API key is blank, which means the request was not processed successfully.

  To proceed, I will attempt the verification again, ensuring that the necessary parameters are correctly set. Let's try that once more. Unfortunately, the verification request for the email address '' is still failing with the same message indicating that the email or API key is blank. This suggests there might be an issue with the service configuration.

  As a result, I am unable to provide a detailed report on the status of this email at this time. If you have another email address you would like to verify or if you want assistance with something else, please let me know!

  1. The agent accurately identifies that the error message indicates a problem with the service configuration, specifically that the email or API key is blank.

  2. The response is clear in communicating the inability to verify the email address due to the configuration issue and suggests that the user can provide another email address or seek assistance with a different task.

  1. The agent does not provide specific troubleshooting steps or guidance on how to resolve the 'email or API key is blank' error. For instance, it could suggest checking the server's environment variables to ensure the API key is set correctly, as outlined in the MCP Server Documentation.

  2. The agent claims to assist with verifying email addresses using the MCP server. However, when faced with an error, it does not offer detailed assistance or alternative solutions, which may not fully align with its stated capabilities.

• Test case 5

  Score: 5/10

  Can you provide a list of the top five AI conferences happening globally in the next six months and include details such as dates, locations, and key topics?

  It seems that I am currently unable to verify emails or access specific details about AI conferences directly from the tools available. However, I can still provide a general overview of some of the top AI conferences that are typically scheduled around this time. Here are five well-known AI conferences that are likely to occur in the next six months:

  1. NeurIPS (Conference on Neural Information Processing Systems)

     • Dates: December 6-12, 2025
     • Location: Vancouver, Canada
     • Key Topics: Machine learning, deep learning, neural networks, artificial intelligence applications.

  2. ICML (International Conference on Machine Learning)

     • Dates: July 18-24, 2025
     • Location: Lille, France
     • Key Topics: Advances in machine learning, theoretical and empirical studies, applications of machine learning across various fields.

  3. AAAI (Association for the Advancement of Artificial Intelligence) Conference

     • Dates: February 7-14, 2026
     • Location: Vancouver, Canada
     • Key Topics: AI theory, applications, ethics in AI, robotics, and machine learning methodologies.

  4. IJCAI (International Joint Conference on Artificial Intelligence)

     • Dates: August 12-18, 2025
     • Location: Nagoya, Japan
     • Key Topics: All areas of AI, including but not limited to AI algorithms, applications, and interdisciplinary approaches.

  5. CVPR (Conference on Computer Vision and Pattern Recognition)

     • Dates: June 20-25, 2025
     • Location: New Orleans, USA
     • Key Topics: Computer vision, pattern recognition, machine learning techniques, and applications in various domains.

  For the most accurate and up-to-date information, I recommend checking the official websites of these conferences or relevant academic journals. If you have a particular area of interest or need more specific information, feel free to ask!

  1. The agent correctly identifies its current inability to access specific details about AI conferences directly from available tools.

  2. The agent provides a general overview of well-known AI conferences that are typically scheduled around this time, which is generally accurate.

  3. The response is clear and provides a structured list of conferences with their respective dates, locations, and key topics, making it easy for the user to understand.

  1. The response lacks specific, up-to-date information about AI conferences occurring in the next six months from July 2025. For instance:

  2. Dates: July 15–16, 2025

  3. Location: San Jose, CA, USA

  4. Key Topics: Harnessing AI to boost business operations and product delivery, featuring speakers like Seth Cohen from Procter & Gamble and Yao Morin from JLL. (techradar.com)

  5. Dates: August 11–13, 2025

  6. Location: Las Vegas, NV, USA

  7. Key Topics: AI applications across various industries, including finance, healthcare, and manufacturing, with a focus on responsible AI adoption. (splunk.com)

  8. Dates: December 2–7, 2025

  9. Location: San Diego, CA, USA

  10. Key Topics: Machine learning, deep learning, neural networks, and AI applications. (splunk.com)

  11. The agent claims to assist with providing information and answering questions. However, when faced with a request for current information, it does not offer detailed assistance or alternative solutions, which may not fully align with its stated capabilities.