NDI-MCP-Server
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TDQS
Scored across 8 tools
Every tool has a clearly distinct purpose with no ambiguity. For example, find_1031_candidates focuses on filtering for 1031 exchange suitability, while search_deals is a broader search for active listings, and get_deal retrieves detailed information for a specific deal. The descriptions reinforce these unique roles, ensuring agents can easily differentiate between them.
All tool names follow a consistent verb_noun pattern using snake_case, such as find_1031_candidates, get_deal, and search_comps. This uniformity makes the toolset predictable and easy to navigate, with no deviations in naming conventions across the eight tools.
With 8 tools, the count is well-scoped for a commercial real estate analytics server. Each tool serves a specific function, from searching and scoring deals to retrieving market data and benchmarks, ensuring comprehensive coverage without unnecessary bloat or gaps.
The toolset provides strong coverage for commercial real estate analysis, including deal discovery, scoring, benchmarking, and market insights. A minor gap exists in update or management operations for deals, but the core workflows for evaluation and research are fully supported, allowing agents to perform essential tasks effectively.