jlcases/paelladoc
paelladoc is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
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PAELLADOC is an AI-First Development framework implementing the Model Context Protocol (MCP) to enhance LLM interactions with external tools and context.
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Has a README
Github repo has a README.md.
Has a License
Github repo has license info.
Server can be inspected
View server inspector
Server schema can be extracted
Can get at lease one tool info from the README or server.
Online hosted on MCPHub
Can be automatically deployed by MCPHub.
Has social accounts
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Claimed by the author or certified by MCPHub
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AI Evaluation ReportTotal Score: 4/10
The agent demonstrates a basic understanding of its capabilities, such as initializing projects and listing them. However, it struggles with executing specific operations like verifying documentation, updating project details, and deleting projects due to input validation errors and tool malfunctions. The agent's responses often lack detail and confirmation of successful execution, which affects its reliability and effectiveness. The inability to handle errors gracefully and provide meaningful feedback further limits its utility. Overall, the agent shows potential but requires significant improvements in error handling, input validation, and response detail to be more effective.
Test case 1
Score: 6/10Perform the operation of verifying the documentation coverage of the project 'AI-Assistant' against the MECE taxonomy to ensure completeness and consistency.No valid answer is generated due to invalid input. The verification of documentation coverage against the MECE taxonomy could not be performed because the project 'AI-Assistant' was not found. Please ensure that the project is initialized and active before attempting to verify the documentation coverage.
Test case 2
Score: 6/10Perform the operation of generating code for the project 'AI-Assistant' based on its existing documentation.No valid answer is generated due to invalid input. The project 'AI-Assistant' was not found in the documentation system. Please check the project name or ensure that the project exists before attempting to generate code based on its documentation.
Test case 3
Score: 5/10Perform the operation of initializing a new PAELLADOC project named 'AI-Assistant' with the following specifications: platform as 'Web', domain as 'Artificial Intelligence', size as 'Medium', compliance as 'GDPR', and lifecycle as 'Development'.The project 'AI-Assistant' was created successfully at the path
/projects/ai-assistant.Test case 4
Score: 6/10Perform the operation of updating the 'AI-Assistant' project to change its compliance from 'GDPR' to 'CCPA', ensuring a backup is created before the update.No valid answer is generated due to invalid input. The update operation failed due to an input validation error. Specifically, the request was missing the required 'updates' property to specify the compliance change from 'GDPR' to 'CCPA'. Please provide the necessary update details, and I will attempt the operation again.
Test case 5
Score: 2/10Perform the operation of deleting the 'AI-Assistant' project, including all its associated files, ensuring that a backup is created before the deletion.No valid answer is generated due to tool malfunction. The failure is due to a tool malfunction or a specific API failure related to the deletion process, as indicated by the error message: 'Error deleting project: 'SQLiteMemoryAdapter' object has no attribute 'delete_memory''.
