string_increment_float

THE RISK

High Risk

Why string_increment_float needs a policy

The description is minimal and uninformative. 'Increment float value' suggests a computation or state mutation operation. Without more context it could be a write/update to some stored value, but the generic description and server context (AWS Lambda Tools MCP) suggests it may execute an operation against some resource. Confidence is low due to the uninformative description.

From the tool's definition "Increment float value" - the tool modifies a numeric value

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

POLICY

How to control string_increment_float

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "string_increment_float": {
      "limits": [
        {
          "counter": "string_increment_float_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

string_increment_float stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register AWS Lambda Tool 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Go deeper

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High-risk tools in AWS Lambda Tool MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-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.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about string_increment_float

What does the string_increment_float tool do? +

Increment float value. It is categorised as a Execute tool in the AWS Lambda Tool MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on string_increment_float? +

Register the AWS Lambda Tool 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 AWS Lambda Tool MCP Server. Nothing to install.

What risk level is string_increment_float? +

string_increment_float is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

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 AWS Lambda Tool MCP Server MCP server (awslabs.lambda-tool-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 Lambda Tool MCP Server tool call.

Start from AWS Lambda Tool 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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