memory_enrich_knowledge
Save structured technical specs and colloquial aliases for a file, folder, function, or symbol so AI agents can retrieve contextual code understanding via local FTS search.
Instructions
Save deep understanding of a file/folder or function/symbol. MANDATORY: Write technical specs (purpose, logic_phases, upstream, downstream, guardrails, side_effects, error_handling) in High-Density Technical English (saves 40% tokens). MANDATORY: Write colloquial_aliases in natural Indonesian user habits/slang for instant FTS5 matching.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"entity_path": "<entity_path>"
},
"name": "memory_enrich_knowledge"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| purpose | No | ||
| upstream | No | ||
| downstream | No | ||
| guardrails | No | ||
| merge_mode | No | merge | |
| entity_path | Yes | ||
| symbol_name | No | ||
| logic_phases | No | ||
| side_effects | No | ||
| child_summary | No | ||
| error_handling | No | ||
| colloquial_aliases | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |