string_set_range · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What string_set_range does on Amazon SageMaker AI MCP Server

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

WHY IT NEEDS A POLICY

Why string_set_range needs a policy

The tool modifies data by overwriting a portion of a string. This is a Write operation because it creates or modifies data reversibly. The severity is medium because overwriting string data could affect application logic or data integrity depending on context, but the impact is limited to string manipulation without permanent deletion or financial consequence.

From the tool's definition Description states 'Overwrite part of string' — a modification operation that changes existing data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

string_set_range Rate-limited

string_set_range 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "string_set_range": {
      "limits": [
        {
          "counter": "string_set_range_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about string_set_range

What does the string_set_range tool do? +

Overwrite part of string. It is categorised as a Write tool in the Amazon SageMaker AI 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 string_set_range? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for string_set_range: 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 SageMaker AI MCP Server. Nothing to install.

What risk level is string_set_range? +

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

Can I rate-limit string_set_range? +

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

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

string_set_range is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.