Manage AWS Glue crawler schedules and monitor performance metrics. This tool provides operations for controlling crawler schedules and retrieving performance metrics. Use it to automate crawler runs on a schedule and monitor crawler efficiency and status. ## Requirements - The server must be ru...
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_glue_crawler_management 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_glue_crawler_management 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_glue_crawler_management:
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_glue_crawler_management 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 Glue crawler schedules and monitor performance metrics. This tool provides operations for controlling crawler schedules and retrieving performance metrics. Use it to automate crawler runs on a schedule and monitor crawler efficiency and status. ## Requirements - The server must be run with the `--allow-write` flag for schedule management operations - Appropriate AWS permissions for Glue crawler operations ## Operations - **get-crawler-metrics**: Retrieve performance statistics about crawlers - **start-crawler-schedule**: Activate a crawler's schedule - **stop-crawler-schedule**: Deactivate a crawler's schedule - **update-crawler-schedule**: Modify a crawler's schedule with a new cron expression ## Example ```python # Update a crawler's schedule to run daily at 2:30 AM UTC { 'operation': 'update-crawler-schedule', 'crawler_name': 'my-s3-data-crawler', 'schedule': 'cron(30 2 * * ? *)', } # Get metrics for specific crawlers { 'operation': 'get-crawler-metrics', 'crawler_name_list': ['my-s3-data-crawler', 'my-jdbc-crawler'], } ``` Args: ctx: MCP context operation: Operation to perform crawler_name: Name of the crawler for schedule operations crawler_name_list: List of crawler names for get-crawler-metrics operation max_results: Maximum number of results to return for get-crawler-metrics operation schedule: Cron expression for the crawler schedule (required for update-crawler-schedule operation) 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_glue_crawler_management. 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_glue_crawler_management 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_glue_crawler_management 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_glue_crawler_management. 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_glue_crawler_management 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.