Medium Risk

propose_mailbox_md_edit

Propose changes to the renter's MAILBOX.md instructions with reasoning. The renter will see your suggestion in their dashboard and can accept, reject, or modify it. Use this when you observe patterns that could be codified into standing instructions.

Part of the Mailbox server.

propose_mailbox_md_edit can modify Mailbox 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 propose_mailbox_md_edit to create or modify resources in Mailbox. 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 propose_mailbox_md_edit 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 Mailbox.

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

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

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

Propose changes to the renter's MAILBOX.md instructions with reasoning. The renter will see your suggestion in their dashboard and can accept, reject, or modify it. Use this when you observe patterns that could be codified into standing instructions.. It is categorised as a Write tool in the Mailbox MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on propose_mailbox_md_edit? +

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

What risk level is propose_mailbox_md_edit? +

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

Can I rate-limit propose_mailbox_md_edit? +

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

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

propose_mailbox_md_edit is provided by the Mailbox MCP server (https://mailbox.bot/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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