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Read-only search and contextual metrics for 1.33M street records across 8 US states.

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Status
Unhealthy
Uptime
63.1% over 22 days
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

A4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool targets a distinct step: search_areas finds area IDs, search_streets finds street/ZIP IDs, get_street_context returns metrics for a known ID, compare_streets diffs 2-5 IDs, and get_coverage reports the catalogue. The descriptions clearly delineate these boundaries and even prescribe ordering (search_areas first), leaving no real overlap.

Naming Consistency5/5

All five tools use the same mystreetdata_ prefix followed by a consistent verb_noun pattern (search_areas, search_streets, get_street_context, get_coverage, compare_streets). No mixing of camelCase or inconsistent verb styles.

Tool Count5/5

Five tools cover a coherent read-only lookup workflow (find area, find street, get context, compare, check coverage) without redundancy. The count is well-scoped and each tool earns its place.

Completeness4/5

The search-to-context-to-compare workflow plus a coverage catalogue covers the core read-only domain with no obvious dead ends. Minor gap: no explicit bulk/list or direct single-street detail beyond the context call, but search_streets plus get_street_context largely fills that need.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 5 tool updates
    • First observedmystreetdata_compare_streets
    • First observedmystreetdata_get_coverage
    • First observedmystreetdata_get_street_context
    • First observedmystreetdata_search_areas
    • First observedmystreetdata_search_streets

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