MCP Long Context Reader
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TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: two different summarization strategies, a quick preview, regex search, and semantic retrieval. Even the two summarization tools are differentiated by their approach (map-reduce vs. sequential notes), so an agent can reliably select the right one.
Most tools follow a verb_with_modifier pattern (e.g., summarize_with_map_reduce, search_with_regex). 'glance' is a simple verb without a modifier, which is a minor deviation but still clear and consistent with the overall verb-first style.
With 5 tools, the server is well-scoped for a document reader/summarizer. Each tool serves a distinct function and none feel redundant or superfluous, making the count appropriate for the domain.
The core workflows of previewing, searching, retrieving, and summarizing are covered. A minor gap is the lack of a direct full-text extraction tool, but this is likely intentional for long-context handling and agents can work around it using glance or retrieval.