Medium Risk

update_adaptive_level

Run the adaptive-mastery promotion logic for the signed-in user (delegates to the web app's update-adaptive-mastery function). Requires sign-in.

Part of the Vocab Voyage server.

update_adaptive_level can modify Vocab Voyage 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 update_adaptive_level to create or modify resources in Vocab Voyage. 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 update_adaptive_level 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 Vocab Voyage.

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

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

See the full Vocab Voyage policy for all 31 tools.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_adaptive_level 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 update_adaptive_level tool do? +

Run the adaptive-mastery promotion logic for the signed-in user (delegates to the web app's update-adaptive-mastery function). Requires sign-in.. It is categorised as a Write tool in the Vocab Voyage MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_adaptive_level? +

Register the Vocab Voyage MCP server in PolicyLayer and add a rule for update_adaptive_level: 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 Vocab Voyage. Nothing to install.

What risk level is update_adaptive_level? +

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

Can I rate-limit update_adaptive_level? +

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

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

update_adaptive_level is provided by the Vocab Voyage MCP server (https://gponcrussdahcdyrlhcr.supabase.co/functions/v1/mcp-server?ref=mcp_registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vocab Voyage tool call.

Deterministic rules across all 31 Vocab Voyage tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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