Manage AWS Glue Interactive Session Statements for executing code and retrieving results. This tool provides operations for executing code, canceling running statements, and retrieving results within Glue Interactive Sessions. It enables interactive data processing, exploration, and analysis usi...
Accepts freeform code/query input (code); Single-target operation
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_statements 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_statements 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_statements:
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_statements 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 Interactive Session Statements for executing code and retrieving results. This tool provides operations for executing code, canceling running statements, and retrieving results within Glue Interactive Sessions. It enables interactive data processing, exploration, and analysis using Spark or Ray in AWS Glue. ## Requirements - The server must be run with the `--allow-write` flag for run-statement and cancel-statement operations - Appropriate AWS permissions for Glue Interactive Session Statement operations - A valid session ID is required for all operations ## Operations - **run-statement**: Execute code in an interactive session and get a statement ID - **cancel-statement**: Cancel a running statement by ID - **get-statement**: Retrieve detailed information and results of a specific statement - **list-statements**: List all statements in a session with their status ## Example ```python # Run a PySpark statement in a session { 'operation': 'run-statement', 'session_id': 'my-spark-session', 'code': "df = spark.read.csv('s3://my-bucket/data.csv', header=True)\ndf.show(5)", } ``` Args: ctx: MCP context operation: Operation to perform session_id: ID of the session statement_id: ID of the statement code: Code to execute for run-statement operation request_origin: Origin of the request max_results: Maximum number of results to return next_token: Pagination token Returns: CallToolResult with operation status and data. 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_statements. 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_statements 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_statements 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_statements. 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_statements 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.