forge
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TDQS
Scored across 7 tools
Each tool has a distinct, well-defined purpose with clear boundaries. For example, forge_logs is for event stream queries, iteration_state handles retry tracking, memory_recall/save manage learned patterns, session_state handles session persistence, and validate/validate_plan handle different validation scopes. The descriptions explicitly state what each tool should and should not be used for, preventing confusion.
All tools follow a consistent snake_case naming convention with clear verb_noun patterns. Tools like forge_logs, iteration_state, memory_recall, memory_save, session_state, validate, and validate_plan maintain perfect consistency throughout the set, making them predictable and easy to understand.
With 7 tools, this server is well-scoped for its forge orchestration domain. Each tool serves a specific, necessary function in the workflow (logging, state management, memory, validation), and none feel redundant or missing. The count supports comprehensive coverage without being overwhelming.
The tool set provides complete coverage for forge orchestration workflows. It includes logging (forge_logs), state management (iteration_state, session_state), knowledge persistence (memory_recall/save), and validation at both module and plan levels (validate, validate_plan). There are no obvious gaps—agents can manage the entire lifecycle from planning through execution to learning.