Generate a Gantt-style timeline visualization for an AWS HealthOmics workflow run. This tool creates an SVG Gantt chart showing task execution phases (pending and running) with status-based coloring. The chart helps visualize task parallelism and identify bottlenecks in workflow execution. Use ...
Part of the AWS HealthOmics MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use GenerateAHORunTimeline 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 GenerateAHORunTimeline 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:
GenerateAHORunTimeline:
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 GenerateAHORunTimeline 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.
Generate a Gantt-style timeline visualization for an AWS HealthOmics workflow run. This tool creates an SVG Gantt chart showing task execution phases (pending and running) with status-based coloring. The chart helps visualize task parallelism and identify bottlenecks in workflow execution. Use this tool when users ask about: - "Show me a timeline of my workflow run" - "Visualize the execution of my HealthOmics workflow" - "Create a Gantt chart for my run" - "How did my tasks execute over time?" - "What was the parallelism in my workflow?" The chart displays: - Pending/starting phase (light grey bars) - Running phase (colored by status: blue=COMPLETED, red=FAILED, orange=CANCELLED) - Interactive tooltips with task details (name, CPUs, memory, instance type, cost) - Time axis with configurable units (seconds, minutes, hours, days) Args: ctx: MCP request context for error reporting run_id: The run ID to generate timeline for time_unit: Time unit for the timeline axis (sec, min, hr, day) region: AWS region for pricing lookups output_format: Output format (svg or base64) output_path: Optional file path or S3 URI to write SVG to theme: Color theme for the visualization ('light' or 'dark') expected_bucket_owner: AWS account ID for S3 bucket owner verification aws_profile: Optional AWS profile name override aws_region: Optional AWS region override Returns: SVG string, base64-encoded SVG, or JSON summary when output_path is provided. 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 GenerateAHORunTimeline. 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.
GenerateAHORunTimeline 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 GenerateAHORunTimeline 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 GenerateAHORunTimeline. 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.
GenerateAHORunTimeline 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.