Forge Neo MCP
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TDQS
Scored across 10 tools
Tools are mostly distinct by resource and action—LoRA search vs detail, module check vs download, generation vs progress—but model_profile and prompt_dialect overlap on prompt dialect, and models/model_profile could be confused at a glance. The detailed descriptions mitigate most ambiguity.
Names consistently use lowercase snake_case and a readable resource-oriented style (loras, lora_info, models, module_check). Not all are verb_noun—generate is a bare verb and progress is ambiguous—so it is not a perfect 5, but there is no chaotic convention mixing.
Ten tools is well within the ideal 3–15 range and matches the server's scope: discovery, model/prompt/LoRA/module setup, generation, and progress control. No tool feels redundant or superfluous.
The surface covers the full generation workflow—model loading, profiling, prompt dialect, LoRA lookup, module diagnostics/download, generate, and progress monitoring. Minor gaps exist (no LoRA download/management, no explicit output/history listing), but they are not required for the core purpose.