# 101 - Unified Parameter Resolution Interface (TASK-055-FIX)

**Date:** 2025-12-08

## Summary

Refactored TASK-055 implementation to use a single unified `router_set_goal` tool with `resolved_params` argument instead of 4 separate tools. This preserves conversation context and simplifies the LLM interaction flow.

## Problem Solved

TASK-055 original implementation created 4 separate MCP tools:
- `router_set_goal_interactive`
- `router_store_parameter`
- `router_list_parameters`
- `router_delete_parameter`

This forced the LLM to juggle multiple tools during parameter resolution, causing context loss between calls. The conversation flow was fragmented:

```
# Old (broken) flow:
1. set_goal_interactive() → needs input
2. LLM asks user for values
3. store_parameter() → store each value separately
4. set_goal_interactive() again → now ready
```

## Solution

Unified interface through single `router_set_goal(goal, resolved_params)`:

```python
# New (correct) flow:
1. router_set_goal("table with straight legs")
   → Returns: {"status": "needs_input", "unresolved": [...]}

2. router_set_goal("table with straight legs", resolved_params={"leg_angle": 0})
   → Returns: {"status": "ready", "resolved": {"leg_angle": 0}}
   → Auto-stores mapping for future semantic reuse
```

### Key Benefits

1. **Context Preservation** - Single tool maintains state across calls
2. **Automatic Storage** - Resolved params auto-stored when provided
3. **Cleaner API** - One tool instead of four
4. **Same Power** - All TASK-055 features preserved

## Changes

### Tools Removed (4)

| Tool | Reason |
|------|--------|
| `router_set_goal_interactive` | Merged into `router_set_goal` |
| `router_store_parameter` | Auto-stored via `resolved_params` |
| `router_list_parameters` | Not needed for LLM flow |
| `router_delete_parameter` | Not needed for LLM flow |

### Tools Modified (1)

| Tool | Changes |
|------|---------|
| `router_set_goal` | Added `resolved_params` (dict, optional). Returns JSON with status, resolved, unresolved, resolution_sources. |

### Interface Simplified

| Interface | Methods Removed |
|-----------|----------------|
| `IParameterStore` | `list_mappings()`, `delete_mapping()` |

### Files Modified

| File | Changes |
|------|---------|
| `server/adapters/mcp/areas/router.py` | Removed 4 tools, updated `router_set_goal` |
| `server/application/tool_handlers/router_handler.py` | Modified `set_goal()` signature, removed 5 methods |
| `server/domain/tools/router.py` | Updated `IRouterTool` interface |
| `server/router/domain/interfaces/i_parameter_resolver.py` | Simplified `IParameterStore` |
| `server/router/application/resolver/parameter_store.py` | Removed `list_mappings()`, `delete_mapping()`, `get_stats()` |

## Return Format

```json
{
  "status": "ready|needs_input|no_match|disabled",
  "workflow": "matched_workflow_name",
  "resolved": {
    "param1": 0.5,
    "param2": "value"
  },
  "unresolved": [
    {
      "param": "leg_angle",
      "type": "float",
      "range": [-1.57, 1.57],
      "default": 0.3,
      "description": "Angle of table legs",
      "hints": ["straight", "angled"]
    }
  ],
  "resolution_sources": {
    "param1": "yaml_modifier",
    "param2": "learned_mapping"
  },
  "message": "Human-readable status message"
}
```

## Testing

All tests updated and passing:

| Test Type | Count | File |
|-----------|-------|------|
| Handler Unit Tests | 11 | `tests/unit/application/test_router_handler_parameters.py` |
| Store Unit Tests | 12 | `tests/unit/router/application/resolver/test_parameter_store.py` |
| Interface Unit Tests | 12 | `tests/unit/router/domain/interfaces/test_i_parameter_resolver.py` |
| E2E Tests | 11 | `tests/e2e/router/test_parameter_resolution.py` |

## Example Usage

```python
# First call - no modifiers
result = router_set_goal("table")
# Returns: {"status": "needs_input", "unresolved": [{"param": "leg_angle", ...}]}

# Second call - with resolved values
result = router_set_goal("table", resolved_params={"leg_angle": 0})
# Returns: {"status": "ready", "resolved": {"leg_angle": 0}}
# → Mapping auto-stored for future semantic reuse

# Future calls - semantic match
result = router_set_goal("table with straight legs")
# Returns: {"status": "ready", "resolved": {"leg_angle": 0}}
# → LaBSE found similar context, reused stored value
```

## Supersedes

This changelog supersedes: `100-2025-12-08-interactive-parameter-resolution.md`

## Related Tasks

- TASK-055: Original parameter resolution implementation
- TASK-053: Ensemble Matcher System
- TASK-047: LanceDB Vector Store
