open-ALIO-mcp
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TDQS
Scored across 32 tools
Each tool targets a distinct function (searching, retrieving, analyzing, comparing) across different subdomains (institutions, metrics, news, recruitment, laws, facilities). Even overlapping areas like search_recruitments vs analyze_recruitments are clearly differentiated by purpose. Descriptions are detailed enough to avoid confusion.
Tool names consistently use a verb_noun pattern (e.g., search_institutions, get_institution_profile, list_disclosure_items). Even longer names like cross_check_news_with_metrics follow a clear pattern. No mixing of conventions (all snake_case).
32 tools is on the high end but justified by the broad domain of public institution data. Each tool serves a specific purpose across multiple areas (institutions, metrics, news, recruitment, facilities, laws, etc.). A few tools could potentially be merged (e.g., get_institution_staff_summary could be a param of get_institution_metrics), but the count is still reasonable.
The tool surface covers the full lifecycle of retrieving and analyzing public institution information: searching, profiling, metrics, news, recruitment, facilities, laws, guidelines, evaluation handbooks, and comparative analysis. There are no obvious gaps for the stated purpose of providing comprehensive public institution data.