docs(conductor): Synchronize docs for track 'Agent Tool Preference & Bias Tuning'

conductor/product.md

@@ -73,4 +73,10 @@ For deep implementation details when planning or implementing tracks, consult `d
   - **Scoped Inheritance:** Supports **Global** (application-wide) and **Project-Specific** presets. Project presets with the same name automatically override global counterparts, allowing for fine-tuned context tailoring.
   - **Full AI Profiles:** Presets capture not only the system prompt text but also critical model parameters like **Temperature**, **Top-P**, and **Max Output Tokens**.
   - **Preset Manager Modal:** A dedicated high-density GUI for creating, editing, and deleting presets with real-time validation and instant application to the active session.
+  - **Agent Tool Weighting & Bias:** Influences agent tool selection via a weighting system.
+    - **Semantic Nudging:** Automatically prefixes tool and parameter descriptions with priority tags (e.g., [HIGH PRIORITY], [PREFERRED]) to bias model selection.
+    - **Dynamic Tooling Strategy:** Automatically appends a Markdown "Tooling Strategy" section to system instructions based on the active preset and global bias profile.
+    - **Global Bias Profiles:** Application of category-level multipliers (e.g., Execution-Focused, Discovery-Heavy) to influence agent behavior across broad toolsets.
+    - **Priority Badges:** High-density, color-coded visual indicators in tool lists showing the assigned priority level of each capability.
+    - **Fine-Grained Weight Control:** Integrated sliders in the Preset Manager for adjusting individual tool weights (1-5) and parameter-level biases.
 

conductor/tech-stack.md

@@ -33,6 +33,10 @@
 
 - **src/presets.py:** Implements `PresetManager` for high-performance CRUD operations on system prompt presets stored in TOML format (`presets.toml`, `project_presets.toml`). Supports dynamic path resolution and scope-based inheritance.
 
+- **src/tool_bias.py:** Implements the `ToolBiasEngine` for semantic tool description nudging and dynamic tooling strategy generation.
+
+- **src/tool_presets.py:** Extends `ToolPresetManager` to handle nested `Tool` models, weights, and global `BiasProfile` persistence within `tool_presets.toml`.
+
 
 - **tree-sitter / AST Parsing:** For deterministic AST parsing and automated generation of curated "Skeleton Views" and "Targeted Views" (extracting specific functions and their dependencies). Features an integrated AST cache with mtime-based invalidation to minimize re-parsing overhead.
 - **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.