AusEcon MCP for ABS | RBA | APRA data
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TDQS
Scored across 14 tools
There are multiple overlapping discovery and retrieval tools: search_datasets vs list_catalogue, get_economic_series vs get_latest_observations/get_top_observations, and describe_dataset vs get_abs_dataset_structure. The descriptions do help clarify roles, but an agent could still hesitate between source-native and analyst-facing retrieval paths.
All tool names follow a consistent snake_case verb_noun pattern using search_, list_, get_, and describe_. Source-specific retrieval names like get_abs_data, get_rba_table, and get_apra_data follow the same predictable structure.
14 tools is within the reasonable range for a multi-source economic data server, but the deprecated list_rba_tables alias and the two convenience wrappers add slight redundancy. The count is not excessive, just a little larger than necessary.
The tool surface covers discovery, catalogue browsing, concept lookup, dataset structure, source-native retrieval across ABS, RBA, and APRA, analyst-facing series retrieval, derived series, and release events. For a read-only data server, this is comprehensive with no obvious dead ends.