Scored across 4 tools
Each tool targets a clearly distinct capability: listing models, free-text generation, structured JSON generation, and embeddings. local_ask and local_structured are explicitly differentiated by output type, so an agent should not confuse them.
The local_* prefix gives most tools a consistent namespace, and local_ask/local_structured/local_embed are readable. list_models breaks the pattern slightly by using verb_noun without the prefix, but this is minor and still predictable.
Four tools is well-scoped for a local AI inference server: discovery, text generation, structured generation, and embeddings cover the core capabilities without bloat or redundancy.
The set covers the essential workflows for local model interaction: find available models, ask free-text questions, get schema-validated structured answers, and compute embeddings. There are no obvious dead ends or missing core operations for the stated purpose.