Medium Risk

toggle_flag_environment

Enable or disable a feature flag in a specific environment using the Unleash Admin API. For gradual rollouts, configure a flexibleRollout strategy first via set_flag_rollout.

Risk signalsAdmin/system-level operation

Part of the Unleash server.

toggle_flag_environment can modify Unleash data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use toggle_flag_environment to create or modify resources in Unleash. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call toggle_flag_environment repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Unleash.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "toggle_flag_environment": {
      "limits": [
        {
          "counter": "toggle_flag_environment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access toggle_flag_environment gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so toggle_flag_environment only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the toggle_flag_environment tool do? +

Enable or disable a feature flag in a specific environment using the Unleash Admin API. For gradual rollouts, configure a flexibleRollout strategy first via set_flag_rollout.. It is categorised as a Write tool in the Unleash MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on toggle_flag_environment? +

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

What risk level is toggle_flag_environment? +

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

Can I rate-limit toggle_flag_environment? +

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

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

toggle_flag_environment is provided by the Unleash MCP server (Unleash/unleash-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Unleash tool call.

Deterministic rules across all 13 Unleash tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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