remove_series_from_image_set

THE RISK

Critical Risk

Why remove_series_from_image_set needs a policy

The verb 'remove' combined with a medical imaging context (image_set, series) strongly suggests this tool deletes or purges image data that cannot be recovered. In AWS Kendra or medical imaging systems, removing a series is an irreversible operation. Although the description is empty, the semantics of 'remove_series_from_image_set' clearly indicate data destruction.

From the tool's definition Tool name 'remove_series_from_image_set' indicates deletion or removal of medical imaging data. 'Remove' is a destructive operation that irreversibly deletes data from an image set.

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

POLICY

How to control remove_series_from_image_set

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Amazon Kendra Index MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_series_from_image_set:

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "remove_series_from_image_set"
  ]
}

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

Create a free account and register AWS Labs Amazon Kendra Index MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RESTRICT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 AWS Labs Amazon Kendra Index MCP Server tools →

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Go deeper

Critical-risk tools in AWS Labs Amazon Kendra Index MCP Server → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about remove_series_from_image_set

What does the remove_series_from_image_set tool do? +

remove_series_from_image_set. It is categorised as a Destructive tool in the AWS Labs Amazon Kendra Index 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 remove_series_from_image_set? +

Register the AWS Labs Amazon Kendra Index MCP Server MCP server in PolicyLayer and add a rule for remove_series_from_image_set: 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 Amazon Kendra Index MCP Server. Nothing to install.

What risk level is remove_series_from_image_set? +

remove_series_from_image_set 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 remove_series_from_image_set? +

Yes. Add a rate_limit block to the remove_series_from_image_set 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 remove_series_from_image_set completely? +

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

remove_series_from_image_set is provided by the AWS Labs Amazon Kendra Index MCP Server MCP server (awslabs.amazon-kendra-index-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 AWS Labs Amazon Kendra Index MCP Server tool call.

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

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