perform-research-2025-10-20T15-31-34-326Z.mdโข2.19 kB
# Tool Context: perform_research
> **Generated**: 2025-10-20T15:31:34.326Z
> **Tool Version**: 2.0.0
> **Project**: mcp-adr-analysis-server
## Quick Reference
Research: "Test" - 85% confidence. Sources: ๐ง Knowledge Graph
## Execution Summary
- **Status**: Research completed with 85% confidence
- **Confidence**: 85%
- **Key Findings**:
- Question: Test
- Confidence: 85.0%
- Sources consulted: knowledge_graph
- Files analyzed: 0
- Duration: 100ms
## Detected Context
```json
{
"question": "Test",
"answer": "Found ADRs",
"confidence": 0.85,
"sources": [
{
"type": "knowledge_graph",
"confidence": 0.85,
"timestamp": "2025-10-20T15:31:34.326Z",
"dataType": "nodes, relationships"
}
],
"needsWebSearch": false
}
```
## Key Decisions
### 1. Research approach: knowledge_graph
- **Rationale**: Cascading research strategy from local project files to external sources
- **Alternatives Considered**:
- Direct web search
- Manual code review
## Learnings & Recommendations
### Successes โ
- High confidence research results obtained
- Sufficient local context available
### Recommendations
- Results can be used with confidence
- Consider documenting findings in ADR
## Usage in Future Sessions
### How to Reference This Context
```text
Example prompt:
"Using the context from docs/context/perform_research/latest.md,
continue the work from the previous session"
```
### Related Documents
## Raw Data
<details>
<summary>Full execution output</summary>
```json
{
"research": {
"answer": "Found ADRs",
"confidence": 0.85,
"sources": [
{
"type": "knowledge_graph",
"data": {
"nodes": [
{
"id": "adr-1"
},
{
"id": "adr-2"
}
],
"relationships": []
},
"confidence": 0.85,
"timestamp": "2025-10-20T15:31:34.326Z"
}
],
"needsWebSearch": false,
"metadata": {
"duration": 100,
"sourcesQueried": ["knowledge_graph"],
"filesAnalyzed": 0
}
}
}
```
</details>
---
_Auto-generated by perform_research v2.0.0_