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lacewing-digital-library

by Gyoungwe
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools target a distinct data type (phylogeny, figures, taxon_record, type_info, etc.), and paired single/batch tools (resolve_taxon/batch_resolve, literature_distribution_seed/batch_literature_distribution_seed) are clearly distinguished. A few boundaries blur, notably distribution vs distribution_sources and the family of citation-fetching tools (phylogeny, taxonomic_references, bibliography), but descriptions give enough signal to choose correctly.

    Naming Consistency4/5

    All names are uniformly lowercase snake_case with no camelCase mixing, so casing is predictable. However the pattern is not a consistent verb_noun scheme — roughly half are bare nouns (phylogeny, figures, distribution, taxon_record) while others are verb_noun (resolve_taxon, search_taxa, list_valid_extant_species), a minor deviation from a single convention.

    Tool Count4/5

    21 tools is on the heavier side but the domain is genuinely broad, spanning taxonomy resolution, classification, types, distribution, citations and literature extraction. Each tool maps to a distinct artifact, with only the batch/single pairs feeling slightly redundant, so the count is largely earned.

    Completeness4/5

    As a read-only digital-library access layer, the surface is thorough: name resolution, search, classification, name history, type info, distribution, figures, keys, phylogeny, literature seeds, EDoc search and a raw endpoint. No CRUD is expected here, and only niche gaps (e.g. bulk export formats or cross-taxon geographic queries) remain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources