copilot_vision

Capture a TOP as a preview image and ask the configured multimodal LLM a question about it. Returns

SERVERAos SOURCE@hybridlabor-api/aos

Medium RISK CLASS

Category Write

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/copilot-vision.md

WHAT IT DOES

What copilot_vision does on Aos

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

RISK

Why copilot_vision is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs copilot_vision 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 copilot_vision, this is the rule to start with:

copilot_vision Rate-limited

copilot_vision 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": {
    "copilot_vision": {
      "limits": [
        {
          "counter": "copilot_vision_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about copilot_vision

What does the copilot_vision tool do? +

Capture a TOP as a preview image and ask the configured multimodal LLM a question about it. Returns. It is categorised as a Write tool in the Aos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on copilot_vision? +

Register the Aos MCP server in PolicyLayer and add a rule for copilot_vision: 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 copilot_vision? +

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

Can I rate-limit copilot_vision? +

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

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

copilot_vision 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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