Package workflow definition files into a base64-encoded ZIP. Args: ctx: MCP context for error reporting main_file_content: Content of the main workflow file. Accepts inline content, a local file path, or an S3 URI (s3://bucket/key). main_file_name: Name of the main workflow f...
Part of the AWS HealthOmics MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use PackageAHOWorkflow to create or modify resources in AWS HealthOmics 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 PackageAHOWorkflow 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 AWS HealthOmics MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
PackageAHOWorkflow:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full AWS HealthOmics MCP Server policy for all 73 tools.
Agents calling write-class tools like PackageAHOWorkflow 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.
Package workflow definition files into a base64-encoded ZIP. Args: ctx: MCP context for error reporting main_file_content: Content of the main workflow file. Accepts inline content, a local file path, or an S3 URI (s3://bucket/key). main_file_name: Name of the main workflow file (default: main.wdl) additional_files: Dictionary of additional files (filename: content). Values accept inline content, local file paths, or S3 URIs. output_path: Optional file path or S3 URI to write the ZIP to expected_bucket_owner: AWS account ID for S3 bucket owner verification Returns: Base64-encoded ZIP file containing the workflow definition, or summary dict when output_path is provided, or error dict. It is categorised as a Write tool in the AWS HealthOmics 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 PackageAHOWorkflow. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS HealthOmics MCP Server MCP server.
PackageAHOWorkflow 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 PackageAHOWorkflow 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 PackageAHOWorkflow. 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.
PackageAHOWorkflow is provided by the AWS HealthOmics MCP Server MCP server (awslabs.aws-healthomics-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.