run_augment_prompt · AI Development Pipeline MCP

WHAT IT DOES

What run_augment_prompt does on AI Development Pipeline MCP

AI agents invoke run_augment_prompt to trigger actions in AI Development Pipeline MCP. 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 run_augment_prompt needs a policy

This tool invokes an external coding agent (Augment) with user-supplied prompts. The agent can generate, modify, or execute code based on the prompt content. While the tool itself doesn't directly delete or move money, it triggers code generation and modification actions whose consequences are argument-dependent and potentially uncontrolled.

From the tool's definition The tool 'run_augment_prompt' sends a prompt to the Augment coding agent, which is described as a 'development tool' capable of code generation and modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_augment_prompt Rate-limited

run_augment_prompt 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": {
    "run_augment_prompt": {
      "limits": [
        {
          "counter": "run_augment_prompt_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 AI Development Pipeline MCP, so you can run agents against it safely.

FAQ

Questions about run_augment_prompt

What does the run_augment_prompt tool do? +

Send a prompt to the local Augment coding agent. It is categorised as a Execute tool in the AI Development Pipeline MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_augment_prompt? +

Register the AI Development Pipeline MCP server in PolicyLayer and add a rule for run_augment_prompt: 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 AI Development Pipeline MCP. Nothing to install.

What risk level is run_augment_prompt? +

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

Can I rate-limit run_augment_prompt? +

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

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

run_augment_prompt is provided by the AI Development Pipeline MCP server (theburgerllc/ai-development-pipeline-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.