overspan-mcp
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TDQS
Scored across 5 tools
find_nearby and features_in_bbox both fetch OSM features by location, but their radius-vs-bounding-box distinction is clearly explained and they cover different query shapes. overpass_query, count_features, and get_usage are each clearly separate from the helpers and from each other.
Most names use lowercase snake_case, but the conventions vary: overpass_query and features_in_bbox are noun-like, while find_nearby, count_features, and get_usage are verb-led. None are confusing, but there is no single predictable verb_noun pattern across the set.
Five tools is well-scoped for an Overpass API server: one raw query escape hatch, two standard spatial search helpers, a counting tool for sizing result sets, and a usage-monitoring tool. Each tool has a distinct role and none feel redundant.
The tool surface covers the core workflow well: count before pulling data, query by point or bounding box, and fall back to a raw Overpass query when helpers are too narrow. get_usage also covers the operational side of the hosted API, so there are no obvious dead ends.