auto_save_context · Hi-AI MCP: Risk & Policy

WHAT IT DOES

What auto_save_context does on Hi-AI

AI agents use auto_save_context to create or update resources in Hi-AI — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hi-AI environment.

WHY IT NEEDS A POLICY

Why auto_save_context needs a policy

An AI agent can call auto_save_context faster than any human can review — one bad instruction and it creates or modifies resources in Hi-AI by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auto_save_context Rate-limited

auto_save_context 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": {
    "auto_save_context": {
      "limits": [
        {
          "counter": "auto_save_context_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 Hi-AI, so you can run agents against it safely.

FAQ

Questions about auto_save_context

What does the auto_save_context tool do? +

How do I enforce a policy on auto_save_context? +

Register the Hi-AI MCP server in PolicyLayer and add a rule for auto_save_context: 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 Hi-AI. Nothing to install.

What risk level is auto_save_context? +

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

Can I rate-limit auto_save_context? +

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

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

auto_save_context is provided by the Hi-AI MCP server (su-record/hi-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.