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head_tracking

head_tracking

How to control head_tracking ↓

What head_tracking does on Reachy Mini MCP Server

AI agents invoke head_tracking to trigger actions in Reachy Mini MCP Server. 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.

High Risk

Why head_tracking needs a policy

Based on the server context (physical robot control) and sibling tools (move_head, stop_motion), head_tracking likely activates a continuous tracking behavior on the robot's physical head, which constitutes executing an external/physical operation. The description is empty, lowering confidence.

From the tool's definition Tool name 'head_tracking' on a server that controls physical Reachy Mini robots with sibling tools like move_head, dance, play_emotion — implies triggering continuous physical motion tracking behavior on a robot.

Documented attack patterns abuse exactly the kind of access head_tracking gives an agent:

How to control head_tracking

PolicyLayer is an MCP gateway — it sits between your AI agents and Reachy Mini MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for head_tracking:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "head_tracking": {
      "limits": [
        {
          "counter": "head_tracking_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

head_tracking 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.

  1. Create a free account and register Reachy Mini MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about head_tracking

What does the head_tracking tool do? +

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

How do I enforce a policy on head_tracking? +

Register the Reachy Mini MCP Server MCP server in PolicyLayer and add a rule for head_tracking: 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 Reachy Mini MCP Server. Nothing to install.

What risk level is head_tracking? +

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

Can I rate-limit head_tracking? +

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

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

head_tracking is provided by the Reachy Mini MCP Server MCP server (pixelml/reachy-mini-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Reachy Mini MCP Server tool call.

Start from Reachy Mini MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

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