Trim array at path to include only elements within range.
AI agents use json_arrtrim to create or update resources in AWS Labs CloudTrail MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS Labs CloudTrail MCP Server environment.
Trimming an array modifies the data structure by removing elements outside the specified range. This is a reversible write/modification operation (the data is changed but the operation isn't inherently destructive in an irreversible way, depending on the underlying store). The tool name 'json_arrtrim' and description both indicate in-place modification of a JSON array, which is a Write operation.
From the tool's definition Trim array at path to include only elements within range
Attacks that exploit this kind of access
Trim array at path to include only elements within range. It is categorised as a Write tool in the AWS Labs CloudTrail MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for json_arrtrim: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AWS Labs CloudTrail MCP Server. Nothing to install.
json_arrtrim 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 json_arrtrim rule in your PolicyLayer 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 PolicyLayer policy for json_arrtrim. 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.
json_arrtrim is provided by the AWS Labs CloudTrail MCP Server MCP server (awslabs.cloudtrail-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.