robustness.measure_input_sensitivity

WHAT IT DOES

What robustness.measure_input_sensitivity does on ContextForge MCP Gateway

AI agents invoke robustness.measure_input_sensitivity to trigger actions in ContextForge MCP Gateway. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why robustness.measure_input_sensitivity needs a policy

This tool executes a testing/probing operation against a service or model, sending multiple input variations to measure stability. It triggers external operations whose effects depend on arguments (the inputs being tested). It doesn't merely read static data — it actively perturbs inputs and observes responses, which is an Execute-class action.

From the tool's definition 'Test response stability to input variations and perturbations' — actively runs tests by sending input variations/perturbations to a service

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

robustness.measure_input_sensitivity Rate-limited

robustness.measure_input_sensitivity 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "robustness.measure_input_sensitivity": {
      "limits": [
        {
          "counter": "robustness.measure_input_sensitivity_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about robustness.measure_input_sensitivity

What does the robustness.measure_input_sensitivity tool do? +

Test response stability to input variations and perturbations. It is categorised as a Execute tool in the ContextForge MCP Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on robustness.measure_input_sensitivity? +

Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for robustness.measure_input_sensitivity: 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 ContextForge MCP Gateway. Nothing to install.

What risk level is robustness.measure_input_sensitivity? +

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

Can I rate-limit robustness.measure_input_sensitivity? +

Yes. Add a rate_limit block to the robustness.measure_input_sensitivity 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 robustness.measure_input_sensitivity completely? +

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

robustness.measure_input_sensitivity is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.