F
licenseNot graded
qualityC
maintenanceEnables safe execution of Python code with AI assistance and integration with Model Context Protocol tools.
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Pylpex MCP
by Golto
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TDQS
A3.7/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: get_variables retrieves interpreter state, reset clears it, run executes code, and tokenize analyzes code structure. The descriptions make these roles unambiguous, preventing agent misselection.
Naming Consistency5/5
All tool names follow a consistent verb-based pattern (get_variables, reset, run, tokenize) without mixing conventions. The naming is straightforward and predictable, enhancing readability and agent usability.
Tool Count4/5
With 4 tools, the count is reasonable for a language interpreter server, covering core operations like execution, state management, and analysis. It could benefit from additional tools (e.g., for debugging or syntax validation) but is well-scoped for basic functionality.
Completeness4/5
The toolset covers essential interpreter workflows: running code, inspecting state, resetting state, and tokenizing code. Minor gaps exist, such as lack of tools for step-through debugging or syntax checking, but agents can work around these with the provided tools.
Maintenance
ActivityInactive
ResponsivenessNo issues