A
licenseNot graded
qualityC
maintenanceEnables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.
MIT
pdf4vllm
by PyJudge
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TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: grep_pdf searches text within PDFs, list_pdfs finds PDF files in directories, and read_pdf extracts content from PDFs. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with snake_case (grep_pdf, list_pdfs, read_pdf). The naming is predictable and readable, with no deviations or mixed conventions, ensuring clarity and ease of use.
Tool Count5/5
With 3 tools, the server is well-scoped for its purpose of PDF processing. Each tool earns its place by covering essential operations: listing, reading, and searching PDFs, without being overly sparse or bloated.
Completeness4/5
The tool set covers core PDF operations (list, read, search) effectively, with no dead ends. A minor gap exists in lacking explicit CRUD operations like create or delete PDFs, but this is reasonable given the server's focus on reading and searching rather than full lifecycle management.
Maintenance
ActivityInactive
ResponsivenessNo issues