A
licenseA
qualityC
maintenancePrevents premature AI coding by transforming vague product ideas into structured specifications, architecture decisions, and acceptance criteria through a series of interrogation and compilation tools.
7
12 npm
MIT
need-overthink
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TDQS
B3.2/5.0
Scored across 19 tools
Disambiguation3/5
Several tools have overlapping purposes, especially around technology discovery: list_design_options, find_related_technologies, and probe_idea_question all touch on listing/searching relevant technologies for an idea. get_design_tree vs get_design_graph and save_insight vs add_design_node also risk confusion, though descriptions provide some guidance.
Naming Consistency5/5
All 19 tools use consistent snake_case naming and follow a verb_noun pattern (e.g., capture_idea, analyze_upper_design, get_design_tree). The convention is predictable throughout with no mixed styles.
Tool Count3/5
With 19 tools, the server is on the heavy side for its purpose. While many tools serve distinct workflow stages, some overlap (e.g., multiple tech-discovery and graph-retrieval tools) suggests the set could be trimmed.
Completeness4/5
The tool set covers the core design-thinking lifecycle from idea capture to plan finalization, plus knowledge persistence and graph operations. Minor gaps exist around update/delete for insights, design nodes, and relations, but agents can work around them.
Maintenance
ActivityMaintained
ResponsivenessNo issues