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Scored across 9 tools
Most tools have distinct purposes, but find_concordances and word_concordance have significant overlap as both find concordances for words in documents, differing mainly in output format. This could cause confusion for an agent deciding which to use. Other tools like find_collocations, ngram_frequencies, and search functions are clearly differentiated.
All tool names follow a consistent snake_case pattern with clear verb_noun structure (e.g., find_collocations, lookup_word_forms, search_images). The naming is predictable and readable throughout the set, with no mixing of conventions or styles.
With 9 tools, this server is well-scoped for digital humanities text analysis. The count is appropriate, covering key operations like searching, concordancing, collocation analysis, and statistical queries without being overwhelming or too sparse for the domain.
The toolset covers core digital humanities workflows including text search, image search, concordancing, collocation analysis, and corpus statistics. Minor gaps exist, such as no direct document retrieval or metadata lookup tools, but agents can likely work around these using the provided search and analysis functions.