Medium Risk

handoff_save

Save a session handoff note for cross-device / cross-session continuation. Stored at handoffs/{project}-{topic}-{YYYY-MM-DD}.txt in the user's primary vault. Use the optional time param (HHMM, KST) to disambiguate multiple handoffs saved on the same day — it is appended to the topic slug (e.g. to...

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Part of the Ainote server.

handoff_save can modify Ainote 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 handoff_save to create or modify resources in Ainote. 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 handoff_save 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 Ainote.

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

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

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

Save a session handoff note for cross-device / cross-session continuation. Stored at handoffs/{project}-{topic}-{YYYY-MM-DD}.txt in the user's primary vault. Use the optional time param (HHMM, KST) to disambiguate multiple handoffs saved on the same day — it is appended to the topic slug (e.g. topic='phase-d', time='1555' → handoffs/{project}-phase-d-1555-{date}.txt).. It is categorised as a Write tool in the Ainote MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on handoff_save? +

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

What risk level is handoff_save? +

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

Can I rate-limit handoff_save? +

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

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

handoff_save is provided by the Ainote MCP server (@ainote/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ainote tool call.

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