string_increment_float · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What string_increment_float does on Amazon SageMaker AI MCP Server

AI agents use string_increment_float 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_increment_float needs a policy

The tool appears to increment a float value, which is a write/modify operation. However, the description is very minimal and uninformative, making it unclear what data store or resource this modifies, or whether it has broader side effects. Given the SageMaker context, this could be modifying a configuration or metric value. Confidence is low due to the sparse description.

From the tool's definition 'Increment float value' - the tool modifies a numeric value by incrementing it

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

string_increment_float Rate-limited

string_increment_float 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_increment_float": {
      "limits": [
        {
          "counter": "string_increment_float_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_increment_float

What does the string_increment_float tool do? +

Increment float value. 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_increment_float? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for string_increment_float: 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_increment_float? +

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

Can I rate-limit string_increment_float? +

Yes. Add a rate_limit block to the string_increment_float 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_increment_float completely? +

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

string_increment_float 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.