add doc for nested_path

Signed-off-by: zhichao-aws <[email protected]>

_ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

@@ -212,6 +212,7 @@ Parameter	| Type | Required/Optional | Description
 `name` | String  | Optional | The tool name. Useful when an LLM needs to select an appropriate tool for a task.
 `description` | String | Optional | A description of the tool. Useful when an LLM needs to select an appropriate tool for a task.
 `doc_size` | Integer | Optional | The number of documents to fetch. Default is `2`.
+`nested_path` | String | Optional | The path to the nested object for the nested query. Only used for nested fields. Default is `null`.
 
 ## Execute parameters
 

_ml-commons-plugin/agents-tools/tools/rag-tool.md

@@ -136,6 +136,7 @@ Parameter	| Type | Required/Optional | Description
 `prompt` | String | Optional | The prompt to provide to the LLM.
 `k` | Integer | Optional | The number of nearest neighbors to search for when performing neural search. Default is 10.
 `enable_Content_Generation` | Boolean | Optional | If `true`, returns results generated by an LLM. If `false`, returns results directly without LLM-assisted content generation. Default is `true`.
+`nested_path` | String | Optional | The path to the nested object for the nested query. Only used for nested fields. Default is `null`.
 
 ## Execute parameters
 

_ml-commons-plugin/agents-tools/tools/vector-db-tool.md

@@ -225,6 +225,7 @@ Parameter	| Type | Required/Optional | Description
 `input` | String | Required for flow agent | Runtime input sourced from flow agent parameters. If using a large language model (LLM), this field is populated with the LLM response.
 `doc_size` | Integer | Optional | The number of documents to fetch. Default is `2`.
 `k` | Integer | Optional | The number of nearest neighbors to search for when performing neural search. Default is `10`.
+`nested_path` | String | Optional | The path to the nested object for the nested query. Only used for nested fields. Default is `null`.
 
 ## Execute parameters