Medium Risk

tag_resource

tag_resource

How to control tag_resource ↓

What tag_resource does on Amazon Redshift MCP Server

AI agents use tag_resource to create or update resources in Amazon Redshift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Redshift MCP Server environment.

Medium Risk

Why tag_resource needs a policy

Tag operations typically add or modify metadata tags on resources, which is a reversible write operation. The name strongly suggests this pattern (common across AWS APIs). No description is available to confirm, so confidence is reduced. Severity is medium as misuse could affect resource management and cost allocation tracking.

From the tool's definition Tool name 'tag_resource' — no description provided.

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

How to control tag_resource

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tag_resource": {
      "limits": [
        {
          "counter": "tag_resource_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

tag_resource stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Redshift 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.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about tag_resource

What does the tag_resource tool do? +

tag_resource. It is categorised as a Write tool in the Amazon Redshift 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 tag_resource? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for tag_resource: 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 Redshift MCP Server. Nothing to install.

What risk level is tag_resource? +

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

Can I rate-limit tag_resource? +

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

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

tag_resource is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-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 Redshift MCP Server tool call.

Start from Amazon Redshift 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 Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.