Provides comprehensive diagnostic information for a failed workflow run. This function collects multiple sources of diagnostic information including: - Run details and failure reason - Engine logs from CloudWatch - Run manifest logs containing workflow summary and resource metrics (when detailed...
Part of the AWS HealthOmics MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke DiagnoseAHORunFailure to trigger processes or run actions in AWS HealthOmics MCP Server. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
DiagnoseAHORunFailure can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
DiagnoseAHORunFailure:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full AWS HealthOmics MCP Server policy for all 73 tools.
Agents calling execute-class tools like DiagnoseAHORunFailure have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
DiagnoseAHORunFailure is one of the high-risk operations in AWS HealthOmics MCP Server. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Provides comprehensive diagnostic information for a failed workflow run. This function collects multiple sources of diagnostic information including: - Run details and failure reason - Engine logs from CloudWatch - Run manifest logs containing workflow summary and resource metrics (when detailed=True) - Task logs from all failed tasks - Actionable recommendations for troubleshooting Args: ctx: MCP context for error reporting run_id: ID of the failed run detailed: If False (default), excludes manifest logs and limits engine/task logs to last 50 lines from 15 minutes before stop time to 5 minutes after. If True, includes all logs. aws_profile: Optional AWS profile name override aws_region: Optional AWS region override Returns: Dictionary containing comprehensive diagnostic information including: - runId: The run identifier - status: Current run status - failureReason: AWS-provided failure reason - runUuid: Run UUID for log stream identification - engineLogs: Engine execution logs - manifestLogs: Run manifest logs with workflow summary (only when detailed=True) - failedTasks: List of failed tasks with their logs - recommendations: Troubleshooting recommendations. It is categorised as a Execute tool in the AWS HealthOmics MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for DiagnoseAHORunFailure. 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.
DiagnoseAHORunFailure is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the DiagnoseAHORunFailure 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 DiagnoseAHORunFailure. 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.
DiagnoseAHORunFailure 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.