EPA Air Quality System (AQS) MCP Server
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TDQS
Scored across 31 tools
Every tool has a clearly distinct purpose based on the combination of data type (annual/daily/quarterly summary, sample data, monitors, lists) and geographic scope (box, CBSA, county, site, state). The descriptions explicitly differentiate them, making it easy for an agent to select the correct tool without ambiguity. For example, aqs_annual_summary_by_box vs. aqs_annual_summary_by_county serve the same data type but for different geographic boundaries.
All tool names follow a highly consistent pattern: 'aqs_' prefix, then data type (e.g., annual_summary, daily_summary, list, monitors, sample_data), then 'by_' and the geographic scope (box, cbsa, county, site, state). Minor exceptions like aqs_is_available and aqs_signup are still clear and fit the overall naming scheme, maintaining perfect consistency across the set.
With 31 tools, the count is excessive for the server's purpose of querying EPA air quality data. Many tools are redundant variations (e.g., five different geographic scopes for each data type like annual_summary, daily_summary, sample_data), creating a bloated interface that could overwhelm agents. A more streamlined design with fewer, more flexible tools would be more appropriate.
The tool set provides comprehensive coverage for the EPA AQS domain, including data retrieval (summaries, sample data, monitors), metadata listing (states, counties, sites, parameters, CBSAs), and operational support (availability check, signup). It supports all key geographic scopes and data aggregation levels, leaving no obvious gaps for typical air quality analysis workflows.