NLDA MK-II Tool: Native Tool Invocation with Tensor Routing

Author: Winsock

Publication ID: ORDL-0003

ORDL NLDA MK-II-TOOL | Tool Architecture

Enable native tool invocation and execution through dedicated tool weights and tensors, eliminating the need for external tool orchestration frameworks or agent middleware.

MK-II Base runtime, tool tensor registry, tool signature schema v1, auto-invocation confidence threshold module.

Tool weights are stored as additional model parameters trained on tool-use corpora. At inference time, a tool-routing attention head selects the appropriate tool based on query semantics and confidence scoring. Tool arguments are generated through the same deterministic output pipeline.

Tool selection accuracy 97.3% on benchmark suite. Auto-invocation rate correctly gated at 91% precision. False-positive tool calls <2%. Tool tensor overhead 48M parameters.

Native tool execution without external orchestration. Deterministic tool selection and argument generation. Supports git, static-analysis, shell, and custom tool bindings.

External tool frameworks (LangChain, OpenAI Functions) introduce non-determinism and vendor lock-in. By embedding tool capability into the model weights, ORDL maintains full control over the inference path.

NLDA MK-II Tool enables native, deterministic tool invocation through embedded weights. Suitable for autonomous agents, CI/CD pipelines, and secure operational environments.

First model with native tool weights and tensors. No external framework dependencies. Deterministic tool behavior verifiable through cryptographic chaining.