Retrieve run manifest logs produced when a workflow completes or fails. These logs contain a summary of the overall workflow including: - Runtime information - Inputs and input digests - Messages and status information - Task summaries with resource allocation and utilization metrics Args: ...
Part of the AWS HealthOmics MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call GetAHORunManifestLogs to retrieve information from AWS HealthOmics MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though GetAHORunManifestLogs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
GetAHORunManifestLogs:
rules:
- action: allowSee the full AWS HealthOmics MCP Server policy for all 73 tools.
Agents calling read-class tools like GetAHORunManifestLogs have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Retrieve run manifest logs produced when a workflow completes or fails. These logs contain a summary of the overall workflow including: - Runtime information - Inputs and input digests - Messages and status information - Task summaries with resource allocation and utilization metrics Args: ctx: MCP context for error reporting run_id: ID of the run run_uuid: Optional UUID of the run start_time: Optional start time for log retrieval (ISO format) end_time: Optional end time for log retrieval (ISO format) limit: Maximum number of log events to return (default: 100) next_token: Token for pagination from a previous response start_from_head: Whether to start from the beginning (True) or end (False) of the log stream aws_profile: Optional AWS profile name override aws_region: Optional AWS region override Returns: Dictionary containing log events and next token if available. It is categorised as a Read tool in the AWS HealthOmics MCP Server MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for GetAHORunManifestLogs. 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.
GetAHORunManifestLogs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the GetAHORunManifestLogs 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 GetAHORunManifestLogs. 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.
GetAHORunManifestLogs 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.