AI agents invoke dji_land to trigger actions in Robot. 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.
Landing a drone is a physical actuation command that triggers real-world hardware behavior. While landing is generally a safe operation, misuse (e.g., landing at wrong time or location) could cause damage to the drone or surroundings. The description is empty, lowering confidence, but the name and server context strongly imply it executes a drone landing command.
From the tool's definition Tool name 'dji_land' on a drone-control MCP server; description is empty but sibling tools include dji_takeoff, dji_emergency_stop, suggesting this triggers a physical landing action on a DJI Tello drone.
Documented attack patterns abuse exactly the kind of access dji_land gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Robot, and nothing reaches the server without passing your rules. This is the rule we recommend for dji_land:
{
"version": "1",
"default": "deny",
"tools": {
"dji_land": {
"limits": [
{
"counter": "dji_land_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}dji_land 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.
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dji_land. It is categorised as a Execute tool in the Robot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Robot MCP server in PolicyLayer and add a rule for dji_land: 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 Robot. Nothing to install.
dji_land is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the dji_land 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.
Set action: deny in the PolicyLayer policy for dji_land. 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.
dji_land is provided by the Robot MCP server (showkeyjar/robot-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Robot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Robot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.