Auto-update MCP README files

Author: github-actions[bot]

mcps/NDP/README.md

@@ -111,16 +111,16 @@ uv run python src/server.py
 ## Capabilities
 
 ### `list_organizations`
-**Description**: List organizations available in the National Data Platform. This tool should always be called before searching to verify organization names are correctly formatted. Supports filtering by organization name and selecting different servers (local, global, pre_ckan).
+**Description**: List organizations from the National Data Platform.
 
 **Parameters**:
 - `name_filter` (str, optional): Filter organizations by name substring match
 - `server` (str, optional): Server to query - 'local', 'global', or 'pre_ckan' (default: 'global')
 
-**Returns**: Dictionary containing list of organization names, count, and request metadata
+**Returns**: dict: Contains list of organization names and metadata about the request
 
 ### `search_datasets`
-**Description**: Search for datasets in the National Data Platform using simple or advanced search criteria. Supports both term-based searches and field-specific filtering. Use this tool to discover datasets by keywords, organization, format, or other metadata. Results can be limited to prevent context overflow.
+**Description**: Search for datasets in the National Data Platform using various search criteria.
 
 **Parameters**:
 - `search_terms` (List[str], optional): List of terms for simple search across all fields
@@ -137,20 +137,19 @@ uv run python src/server.py
 - `filter_list` (List[str], optional): Field filters in format 'key:value'
 - `timestamp` (str, optional): Filter by timestamp field
 - `server` (str, optional): Server to search - 'local' or 'global' (default: 'global')
-- `limit` (int, optional): Maximum number of results to return (prevents context overflow)
+- `limit` (int or str, optional): Maximum number of results to return (default: 20 to prevent context overflow)
 
-**Returns**: Dictionary containing list of matching datasets with detailed metadata, search parameters, and result counts
+**Returns**: dict: Contains list of matching datasets with detailed metadata
 
 ### `get_dataset_details`
-**Description**: Retrieve detailed information about a specific dataset using its ID or name. Returns comprehensive metadata including all resources, descriptions, and additional fields. Use this after finding datasets with search_datasets to get complete information.
+**Description**: Get detailed information about a specific dataset.
 
 **Parameters**:
 - `dataset_identifier` (str): The dataset ID or name to retrieve details for
 - `identifier_type` (str, optional): Type of identifier - 'id' or 'name' (default: 'id')
 - `server` (str, optional): Server to query - 'local' or 'global' (default: 'global')
 
-**Returns**: Dictionary containing detailed dataset information including all metadata, resources, and identifier information
-
+**Returns**: dict: Detailed dataset information including all metadata and resources
 ## Examples
 
 ### 1. Discover Available Organizations

mcps/parquet/README.md

@@ -155,6 +155,9 @@ uv --directory=$env:CLONE_DIR\iowarp-mcps\mcps\parquet run parquet-mcp --help
 
 
 
+
+
+
 ## Examples
 
 ### 1. Data Discovery and Schema Analysis