A
licenseNot graded
qualityD
maintenanceEnhances and cleans raw prompts using AI to make them more clear, actionable, and effective. Provides quality assessment, suggestions, and supports both general and code-specific optimization modes.
1
MIT
Prompt Cleaner MCP Server
by dacebt
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classifinder-mcpofficial
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TDQS
C2.8/5.0
Scored across 4 tools
Disambiguation1/5
The tool set has severe ambiguity issues, with three tools (cleaner, normalize-prompt, sanitize-text) being explicit aliases of each other, performing identical functions with the same input/output schema. This creates confusion and redundancy, making it impossible for an agent to distinguish between them based on purpose or functionality.
Naming Consistency3/5
Naming is mixed but readable, with tools using snake_case (e.g., 'health-ping') and hyphenated forms (e.g., 'normalize-prompt'), but lacks a consistent pattern. While not chaotic, the deviation from a uniform convention like verb_noun reduces predictability across the set.
Tool Count2/5
With 4 tools, the count is borderline low for the server's purpose of prompt cleaning, but the real issue is that 3 of the tools are redundant aliases. This makes the effective tool count much lower, feeling thin and poorly scoped, as it doesn't justify multiple entries for the same functionality.
Completeness4/5
For the domain of prompt cleaning, the core functionality is well-covered by the cleaner tool, including normalization, PII redaction, and structured output. The health-ping adds basic liveness. However, minor gaps exist, such as lack of tools for post-cleaning analysis or configuration management, but agents can work around these with the provided tools.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues