Medium Risk

parent_update_prefs

Update parent notification + language preferences.

Part of the Lodi Kids Activities server.

parent_update_prefs can modify Lodi Kids Activities 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 parent_update_prefs to create or modify resources in Lodi Kids Activities. 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 parent_update_prefs 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 Lodi Kids Activities.

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

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

See the full Lodi Kids Activities policy for all 72 tools.

Get this rule live on your own Lodi Kids Activities server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 72 tools →

These attack patterns abuse exactly the kind of access parent_update_prefs 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 parent_update_prefs 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 parent_update_prefs tool do? +

Update parent notification + language preferences.. It is categorised as a Write tool in the Lodi Kids Activities MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on parent_update_prefs? +

Register the Lodi Kids Activities MCP server in PolicyLayer and add a rule for parent_update_prefs: 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 Lodi Kids Activities. Nothing to install.

What risk level is parent_update_prefs? +

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

Can I rate-limit parent_update_prefs? +

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

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

parent_update_prefs is provided by the Lodi Kids Activities MCP server (https://lodikidsactivities.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lodi Kids Activities tool call.

Deterministic rules across all 72 Lodi Kids Activities tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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