Manage AWS Athena data catalogs with both read and write operations. This tool provides operations for managing Athena data catalogs, including creating, retrieving, listing, updating, and deleting data catalogs. Data catalogs are used to organize and access data sources in Athena, enabling you ...
High parameter count (10 properties)
Part of the Amazon Data Processing MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use manage_aws_athena_data_catalogs to create or modify resources in Amazon Data Processing MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call manage_aws_athena_data_catalogs repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Amazon Data Processing MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
manage_aws_athena_data_catalogs:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Amazon Data Processing MCP Server policy for all 36 tools.
Agents calling write-class tools like manage_aws_athena_data_catalogs have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Manage AWS Athena data catalogs with both read and write operations. This tool provides operations for managing Athena data catalogs, including creating, retrieving, listing, updating, and deleting data catalogs. Data catalogs are used to organize and access data sources in Athena, enabling you to query data across various sources like AWS Glue Data Catalog, Apache Hive metastores, or federated sources. ## Requirements - The server must be run with the `--allow-write` flag for create-data-catalog, delete-data-catalog, and update-data-catalog operations - Appropriate AWS permissions for Athena data catalog operations ## Operations - **create-data-catalog**: Create a new data catalog - **delete-data-catalog**: Delete an existing data catalog - **get-data-catalog**: Get information about a single data catalog - **list-data-catalogs**: List all data catalogs - **update-data-catalog**: Update an existing data catalog ## Usage Tips - Use list-data-catalogs to find available data catalogs - Data catalogs can be of type LAMBDA, GLUE, HIVE, or FEDERATED - Parameters are specific to the type of data catalog ## Example ``` # List all data catalogs {'operation': 'list-data-catalogs', 'max_results': 10} # Create a Glue data catalog { 'operation': 'create-data-catalog', 'name': 'my-glue-catalog', 'type': 'GLUE', 'description': 'My Glue Data Catalog', 'parameters': {'catalog-id': '123456789012'}, } ``` Args: ctx: MCP context operation: Operation to perform name: Name of the data catalog type: Type of the data catalog (LAMBDA, GLUE, HIVE, FEDERATED) description: Description of the data catalog parameters: Parameters for the data catalog tags: Tags for the data catalog max_results: Maximum number of results to return next_token: Pagination token work_group: The name of the workgroup delete_catalog_only: Whether to delete only the Athena Data Catalog Returns: Union of response types specific to the operation performed. It is categorised as a Write tool in the Amazon Data Processing MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for manage_aws_athena_data_catalogs. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Amazon Data Processing MCP Server MCP server.
manage_aws_athena_data_catalogs is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the manage_aws_athena_data_catalogs rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for manage_aws_athena_data_catalogs. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
manage_aws_athena_data_catalogs is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.