This record as markdown: /tools/aws/json-clear.md
What json_clear does on AWS
AI agents call json_clear to permanently remove resources in AWS, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why json_clear is rated Critical
Clearing a container (array or object) at a given path irreversibly removes all its contents. This is a destructive operation that cannot be undone — all data within the specified JSON container is wiped. The blast radius is high because an agent could clear critical JSON structures stored in the AWS environment.
From the tool's definition Clear container at path (array or object)
Attacks that exploit this kind of access
The rule that runs json_clear safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For json_clear, this is the rule to start with:
json_clear is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every json_clear call is checked against it from then on.
Questions about json_clear
Clear container at path (array or object). Args: key: The name of the key path: The path in the JSON document Returns: Success message or error message. It is categorised as a Destructive tool in the AWS MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS MCP server in PolicyLayer and add a rule for json_clear: 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. Nothing to install.
json_clear is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the json_clear 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_clear. 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_clear is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on AWS, and thousands of servers like it.
Across the catalogue