Medium Risk

CreateAHOConfiguration

Create a new HealthOmics configuration. Args: ctx: MCP context for error reporting name: Configuration name (max 50 characters) run_configurations: Optional run configuration settings (e.g. securityGroupIds and subnetIds) description: Optional configuration description tags: ...

Part of the AWS HealthOmics MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents use CreateAHOConfiguration 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 CreateAHOConfiguration 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.

aws-healthomics-mcp-server.yaml
tools:
  CreateAHOConfiguration:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full AWS HealthOmics MCP Server policy for all 73 tools.

Tool Name CreateAHOConfiguration
Category Write
Risk Level Medium

View all 73 tools →

Agents calling write-class tools like CreateAHOConfiguration have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the CreateAHOConfiguration tool do? +

Create a new HealthOmics configuration. Args: ctx: MCP context for error reporting name: Configuration name (max 50 characters) run_configurations: Optional run configuration settings (e.g. securityGroupIds and subnetIds) description: Optional configuration description tags: Optional resource tags aws_profile: Optional AWS profile name override aws_region: Optional AWS region override Returns: Dictionary containing the created configuration information 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.

How do I enforce a policy on CreateAHOConfiguration? +

Add a rule in your Intercept YAML policy under the tools section for CreateAHOConfiguration. 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.

What risk level is CreateAHOConfiguration? +

CreateAHOConfiguration is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit CreateAHOConfiguration? +

Yes. Add a rate_limit block to the CreateAHOConfiguration 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.

How do I block CreateAHOConfiguration completely? +

Set action: deny in the Intercept policy for CreateAHOConfiguration. 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.

What MCP server provides CreateAHOConfiguration? +

CreateAHOConfiguration 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.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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