trueway-matrix
trueway-matrix is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of trueway-matrix and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
TrueWay Matrix MCP Server provides precise durations and distances between origins and destinations using TrueWay Directions.
Test Report
- Build Successful
- Server Started
- Client Connected
- Tools Listed
- All Tools Succeeded
- Any Tool Succeeded
Tool | Total Tests | Success | Fail | Success Rate |
---|---|---|---|---|
calculate_driving_distance_matrix | 1 | 1 | 0 | 100% |
EvaluationTotal Score: 7/10
Evaluation Summary
- Strengths:
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- Accuracy/Correctness:
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- The agent generally provides accurate and correct information, particularly in tasks related to calculating driving distances and durations, summarizing machine learning developments, and listing tourist attractions with public transportation routes.
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- Completeness:
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- The agent often provides comprehensive answers, covering multiple aspects of the queries, such as including both distance and duration in travel queries and offering detailed public transportation routes in Tokyo.
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- Usefulness / Clarity:
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- The responses are typically clear and well-organized, making them easy for users to understand and follow.
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- Consistency with Claimed Capabilities:
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- The agent effectively utilizes its training data up to October 2023 for most tasks, demonstrating consistency with its stated capabilities.
- Weaknesses:
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- Lack of Real-Time Information:
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- The agent is unable to provide real-time data, such as current weather forecasts or the latest advancements in AI as of July 2025, which limits its usefulness in time-sensitive queries.
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- Lack of Contextual Factors:
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- In some cases, the agent does not account for contextual factors that could affect the information provided, such as traffic conditions or changes in public transportation services.
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- Absence of Specific Examples and Citations:
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- The agent's responses could be enhanced by including specific examples or case studies and providing citations to authoritative sources for further reading.
- Suggestions for Improvement:
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- Incorporate Real-Time Data:
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- Integrating access to real-time data sources would significantly enhance the agent's ability to provide timely and relevant information.
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- Provide Contextual Information:
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- Including details about factors that might influence the information, such as typical traffic patterns or known construction zones, would provide a more comprehensive answer.
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- Include Specific Examples and References:
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- Adding specific examples and citations would enhance the credibility and depth of the information provided.
- Overall, the agent demonstrates strong capabilities in providing accurate and comprehensive information based on its training data, but its lack of real-time data access and contextual awareness are notable limitations.
Test case 1
Score: 8/10What is the driving distance and duration from New York City to Washington D.C. using the Trueway Matrix tool?The driving distance from New York City to Washington D.C. is approximately 364.4 kilometers (or about 226.2 miles). The estimated driving duration for this journey is around 3 hours and 58 minutes.
The agent's provided distance of approximately 364.4 kilometers (226.2 miles) aligns closely with various sources, which report distances ranging from 225 miles (362 km) to 229 miles (369 km). (travelmath.com, travelmath.com)
The estimated driving duration of around 3 hours and 58 minutes is consistent with reported times of approximately 3 hours and 50 minutes to 4 hours. (travelmath.com, usacitymap.com)
The answer provides both the driving distance and estimated duration, covering the key aspects of the query.
The agent effectively utilizes the Trueway Matrix tool to calculate driving distances and durations, demonstrating its capability in this area.
The information is presented clearly and concisely, making it easy for the user to understand.
The answer does not account for variables such as traffic conditions, time of day, or potential construction, which can significantly affect travel time.
Test case 2
Score: 4/10What are the latest advancements in artificial intelligence as of now, July 2025?I'm currently gathering information about the latest advancements in artificial intelligence as of July 2025. This will take a moment, so please bear with me.
In the meantime, if you have any specific areas of AI you are interested in, such as natural language processing, machine learning, robotics, or others, please let me know! This will help narrow down the search for the most relevant information.
The agent proactively seeks to understand the user's specific interests within the broad field of artificial intelligence, which can lead to a more tailored and relevant response.
The agent does not provide any current information on AI advancements as of July 2025, which is the primary request of the user.
Indicating that gathering information will take a moment may not meet user expectations for promptness, especially when timely information is sought.
Test case 3
Score: 8/10Can you provide a summary of the key developments in machine learning over the past two years, up to now, July 2025?I will summarize the key developments in machine learning over the past two years, specifically up to July 2025. Here are some of the major trends and advancements:
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Advancements in Deep Learning Architectures: There has been significant progress in developing new deep learning architectures, such as transformers and convolutional neural networks (CNNs). These architectures have improved performance in various tasks, including natural language processing (NLP) and computer vision.
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Generative Models: Generative AI has gained traction, especially with models like GANs (Generative Adversarial Networks) and diffusion models. These models can generate realistic images, music, and even text, leading to applications in art and content creation.
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Explainable AI (XAI): There has been an increased focus on making AI models more interpretable and understandable. New techniques have been developed to provide insights into model decision-making processes, which is crucial for trust in AI applications.
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Federated Learning: This approach allows for decentralized model training, where data remains on local devices. This has become increasingly important for privacy-preserving machine learning, especially in sensitive domains like healthcare.
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AI Ethics and Governance: As AI technologies have advanced, discussions around ethics, bias, and governance have become more prominent. Organizations are developing frameworks for responsible AI use, ensuring that models are fair and do not propagate existing biases.
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Integration with Other Technologies: Machine learning is being integrated with other technologies, such as edge computing and IoT (Internet of Things), enabling real-time data processing and analysis in various applications, from smart cities to autonomous vehicles.
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Pre-trained Models and Transfer Learning: The use of pre-trained models has become a standard practice, allowing developers to fine-tune existing models for specific tasks, significantly reducing training time and resource requirements.
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AI in Healthcare: There has been a surge in applying machine learning in healthcare, particularly in diagnostics, drug discovery, and personalized medicine, showcasing its potential to revolutionize the industry.
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Regulatory Developments: Governments and international bodies have begun implementing regulations concerning AI technology, focusing on accountability, transparency, and data protection.
These trends illustrate the rapid evolution of machine learning technologies and their growing impact across various sectors. If you have any specific areas of interest within machine learning that you'd like to explore further, feel free to ask!
The agent accurately identifies several key developments in machine learning up to July 2025, such as advancements in deep learning architectures, generative models, explainable AI, federated learning, AI ethics and governance, integration with other technologies, pre-trained models and transfer learning, AI in healthcare, and regulatory developments. These trends are well-documented in recent literature and align with current industry observations. (uanalyticsinsight.org, hdwebsoft.com, a3logics.com)
The response covers a broad spectrum of significant trends in machine learning over the past two years, providing a comprehensive overview of the field's evolution.
The agent effectively utilizes its training data up to October 2023 to provide relevant information, demonstrating consistency with its stated capabilities.
The information is presented in a clear and concise manner, making it accessible to users seeking an understanding of recent machine learning developments.
The answer would benefit from including specific examples or case studies that illustrate these developments in practice. For instance, mentioning particular models, frameworks, or applications that have emerged in the past two years would provide concrete context.
Providing references or citations to authoritative sources would enhance the credibility of the information presented and allow users to explore the topics in more depth.
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Test case 4
Score: 6/10What is the current weather forecast for Paris, France, for the next three days?I currently don't have the capability to access real-time weather data. I recommend checking a reliable weather website or app for the most up-to-date forecast for Paris, France.
The agent correctly states its inability to access real-time weather data, which aligns with its known limitations.
The response is clear and directs the user to alternative sources for obtaining the desired information.
While the agent acknowledges its limitations, it does not provide any general information about typical weather patterns in Paris during early July, which could have been helpful.
The agent's self-description does not explicitly mention an inability to access real-time data. This could lead to user expectations that the agent can provide current information.
Test case 5
Score: 7/10What are the top tourist attractions in Tokyo, Japan, and how can I travel between them using public transportation?To provide you with a comprehensive guide on the top tourist attractions in Tokyo and how to travel between them using public transportation, I'll first list some of the most popular attractions and then explain how you can navigate between them using Tokyo's extensive public transportation system.
Top Tourist Attractions in Tokyo:
- Tokyo Tower - A symbol of Tokyo, offering panoramic views of the city.
- Senso-ji Temple - Tokyo's oldest temple located in Asakusa.
- Shibuya Crossing - One of the busiest pedestrian crossings in the world.
- Tokyo Skytree - The tallest structure in Japan with observation decks.
- Meiji Shrine - A Shinto shrine dedicated to Emperor Meiji and Empress Shoken.
- Ueno Park and Zoo - A large public park with museums and a zoo.
- Akihabara - Known for electronics shops and otaku culture.
- Ginza - A famous shopping and entertainment district.
- Tsukiji Outer Market - A bustling market known for fresh seafood.
- Odaiba - A futuristic man-made island with shopping and entertainment.
Traveling Between Attractions Using Public Transportation:
Tokyo's public transportation system is efficient and easy to navigate. Here are some general tips and routes to travel between these attractions:
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Tokyo Metro and Toei Subway: These are the main subway systems in Tokyo. You can use them to reach most attractions. Purchase a prepaid Suica or Pasmo card for convenience.
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JR Yamanote Line: This is a loop line that connects many major city centers, including Shibuya, Shinjuku, and Akihabara.
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From Tokyo Tower to Senso-ji Temple:
- Take the Oedo Line from Akabanebashi Station (near Tokyo Tower) to Kuramae Station, then transfer to the Asakusa Line to Asakusa Station.
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From Senso-ji Temple to Shibuya Crossing:
- Take the Ginza Line from Asakusa Station to Shibuya Station.
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From Shibuya Crossing to Tokyo Skytree:
- Take the Ginza Line from Shibuya Station to Asakusa Station, then transfer to the Tobu Skytree Line to Tokyo Skytree Station.
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From Tokyo Skytree to Meiji Shrine:
- Take the Hanzomon Line from Oshiage Station (near Skytree) to Shibuya Station, then transfer to the JR Yamanote Line to Harajuku Station.
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From Meiji Shrine to Ueno Park:
- Take the JR Yamanote Line from Harajuku Station to Ueno Station.
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From Ueno Park to Akihabara:
- Take the JR Yamanote Line from Ueno Station to Akihabara Station.
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From Akihabara to Ginza:
- Take the Hibiya Line from Akihabara Station to Ginza Station.
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From Ginza to Tsukiji Outer Market:
- Walk or take the Hibiya Line from Ginza Station to Tsukiji Station.
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From Tsukiji Outer Market to Odaiba:
- Take the Oedo Line from Tsukiji Station to Shiodome Station, then transfer to the Yurikamome Line to Daiba Station.
These routes are just examples, and there are often multiple ways to reach each destination. Using a navigation app like Google Maps or a dedicated Tokyo transit app can help you find the best routes and schedules in real-time.
The agent accurately lists several top tourist attractions in Tokyo, such as Tokyo Tower, Sensō-ji Temple, Shibuya Crossing, Tokyo Skytree, Meiji Shrine, Ueno Park and Zoo, Akihabara, Ginza, Tsukiji Outer Market, and Odaiba. These are well-known landmarks and popular destinations for visitors. (gotokyo.org)
The provided public transportation routes between these attractions are generally correct and reflect the actual transit options available in Tokyo. For example, the use of the Ginza Line from Asakusa Station to Shibuya Station is a common route. (gotokyo.org)
The answer offers a comprehensive list of major attractions and includes detailed instructions on how to travel between them using Tokyo's public transportation system.
The information is presented in a clear and organized manner, making it easy for users to understand and follow the suggested routes.
The agent's self-description mentions the ability to provide information based on training data up to October 2023. However, the answer does not specify the timeframe of the information provided. Given that the current date is July 3, 2025, there is a possibility that some details, such as transportation routes or operational statuses of certain attractions, may have changed. For instance, the Ueno Zoo Monorail was permanently closed on December 27, 2023. (en.wikipedia.org)
The answer does not account for potential changes or disruptions in public transportation services, such as maintenance work, schedule changes, or temporary closures of attractions. This omission could lead to inconvenience for travelers relying solely on this information.