hny-mcp
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TDQS
Scored across 14 tools
Most tools have distinct purposes targeting specific Honeycomb resources (e.g., get_board vs. get_slo vs. get_trigger), but analyze_columns overlaps somewhat with run_query as both involve data analysis. The descriptions help clarify that analyze_columns is for statistical summaries of columns while run_query is for general query execution, but an agent might still confuse them when seeking data insights.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., list_boards, get_slo, run_query). The verbs 'list', 'get', 'analyze', and 'run' are used predictably across the set, making it easy to understand the action each tool performs.
With 14 tools, this server is well-scoped for Honeycomb's observability domain, covering dashboards, SLOs, triggers, datasets, queries, and instrumentation guidance. Each tool has a clear role, and the count is typical for a comprehensive API surface without being overwhelming.
The tool set provides strong coverage for retrieving and listing Honeycomb resources (e.g., boards, SLOs, triggers, datasets) and includes key operations like run_query and analyze_columns. Minor gaps exist, such as no tools for creating or updating resources (e.g., create_board, update_slo), but agents can still perform many workflows with the available read-oriented tools.