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delete_series_by_uid

delete_series_by_uid

How to control delete_series_by_uid ↓

What delete_series_by_uid does on Amazon Data Processing MCP Server

AI agents call delete_series_by_uid to permanently remove resources in Amazon Data Processing MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Why delete_series_by_uid needs a policy

The tool performs an irreversible deletion operation on a data series identified by unique identifier. Although the description is empty (lowering confidence slightly from critical to high), the name unambiguously indicates destructive behavior. In AWS data processing contexts, deleting series typically cannot be undone and would cause data loss.

From the tool's definition Tool name 'delete_series_by_uid' explicitly uses the verb 'delete', which indicates irreversible removal of data. The UID parameter suggests deletion of a specific series record in a data processing context.

Documented attack patterns abuse exactly the kind of access delete_series_by_uid gives an agent:

How to control delete_series_by_uid

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_series_by_uid:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_series_by_uid"
  ]
}

delete_series_by_uid disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Amazon Data Processing MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about delete_series_by_uid

What does the delete_series_by_uid tool do? +

delete_series_by_uid. It is categorised as a Destructive tool in the Amazon Data Processing MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_series_by_uid? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for delete_series_by_uid: 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 Amazon Data Processing MCP Server. Nothing to install.

What risk level is delete_series_by_uid? +

delete_series_by_uid is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_series_by_uid? +

Yes. Add a rate_limit block to the delete_series_by_uid 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.

How do I block delete_series_by_uid completely? +

Set action: deny in the PolicyLayer policy for delete_series_by_uid. 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 delete_series_by_uid? +

delete_series_by_uid is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Data Processing MCP Server tool call.

Start from Amazon Data Processing MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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