automation_mission

Mission orchestration with autonomous execution loop.

SERVERAos SOURCE@hybridlabor-api/aos

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/hybridlabor-api-aos/automation-mission.md

WHAT IT DOES

What automation_mission does on Aos

AI agents invoke automation_mission to trigger actions in Aos. 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.

RISK

Why automation_mission is rated High

Autonomous execution loop implies self-directed multi-step operations with unpredictable blast radius.

From the tool's definition autonomous execution loop, mission orchestration

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs automation_mission safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For automation_mission, this is the rule to start with:

automation_mission Rate-limited

automation_mission 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": {
    "automation_mission": {
      "limits": [
        {
          "counter": "automation_mission_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Aos, apply this rule, and every automation_mission call is checked against it from then on.

FAQ

Questions about automation_mission

What does the automation_mission tool do? +

Mission orchestration with autonomous execution loop. It is categorised as a Execute tool in the Aos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on automation_mission? +

Register the Aos MCP server in PolicyLayer and add a rule for automation_mission: 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 Aos. Nothing to install.

What risk level is automation_mission? +

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

Can I rate-limit automation_mission? +

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

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

automation_mission is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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