harness_init · Harness Engineering MCP: Risk & Policy

WHAT IT DOES

What harness_init does on Harness Engineering MCP

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

WHY IT NEEDS A POLICY

Why harness_init needs a policy

This tool initializes (sets up) the Harness framework within a project, which involves writing configuration or state to the project. It scans files and git history (read actions) but the primary purpose is initialization — creating new governance configuration artifacts. This is reversible (harness_uninstall exists as a sibling tool), placing it in Write rather than Destructive.

From the tool's definition Initialize Engineering Harness in a project. Scans project files...and git history to pre-fill stack/type/mode.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

harness_init Rate-limited

harness_init 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": {
    "harness_init": {
      "limits": [
        {
          "counter": "harness_init_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 Harness Engineering MCP, so you can run agents against it safely.

FAQ

Questions about harness_init

What does the harness_init tool do? +

Initialize Engineering Harness in a project. Scans project files (pom.xml, package.json, requirements.txt, Cargo.toml, go.mod) and git history to pre-fill stack/type/mode. Missing fields are returned via ask_user list so the AI can question the user before re-invoking with full args. It is categorised as a Write tool in the Harness Engineering MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on harness_init? +

Register the Harness Engineering MCP server in PolicyLayer and add a rule for harness_init: 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 Harness Engineering MCP. Nothing to install.

What risk level is harness_init? +

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

Can I rate-limit harness_init? +

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

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

harness_init is provided by the Harness Engineering MCP server (movebrickschi/harness-engineering-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.