inject_instruction · Claude Operator MCP: Risk & Policy

WHAT IT DOES

What inject_instruction does on Claude Operator

AI agents invoke inject_instruction to trigger actions in Claude Operator. 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 inject_instruction needs a policy

The name 'inject_instruction' strongly implies sending commands or directives into a running process or session, which is an Execute-category action. On a server that manages autonomous worker sessions and guardrails, injecting instructions could alter agent behavior, bypass guardrails, or redirect task execution — making this potentially high severity. However, the description is empty, which lowers confidence.

From the tool's definition Tool name 'inject_instruction' on a server that 'spawns worker sessions' and 'manages persistent memory' — injecting instructions likely triggers operations in worker sessions or alters execution flow.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

inject_instruction Rate-limited

inject_instruction 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": {
    "inject_instruction": {
      "limits": [
        {
          "counter": "inject_instruction_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 Claude Operator, so you can run agents against it safely.

FAQ

Questions about inject_instruction

What does the inject_instruction tool do? +

inject_instruction. It is categorised as a Execute tool in the Claude Operator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on inject_instruction? +

Register the Claude Operator MCP server in PolicyLayer and add a rule for inject_instruction: 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 Claude Operator. Nothing to install.

What risk level is inject_instruction? +

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

Can I rate-limit inject_instruction? +

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

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

inject_instruction is provided by the Claude Operator MCP server (moygulati/claude-operator). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.