List session handoff notes saved in the primary vault under handoffs/, most-recent first. v2 frontmatter fields (status / has_blockers / tags / task_type) can be filtered server-side and are exposed in each entry without fetching the body. SIDE EFFECT: each call opportunistically purges handoffs ...
Part of the Ainote server.
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AI agents call handoff_list to retrieve information from Ainote without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though handoff_list only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"handoff_list": {}
}
}See the full Ainote policy for all 32 tools.
These attack patterns abuse exactly the kind of access handoff_list gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List session handoff notes saved in the primary vault under handoffs/, most-recent first. v2 frontmatter fields (status / has_blockers / tags / task_type) can be filtered server-side and are exposed in each entry without fetching the body. SIDE EFFECT: each call opportunistically purges handoffs older than 7 days (the same cleanup runs on save). Therefore the operation is NOT read-only and autonomous agents should treat it as a destructive maintenance call.. It is categorised as a Read tool in the Ainote MCP Server, which means it retrieves data without modifying state.
Register the Ainote MCP server in PolicyLayer and add a rule for handoff_list: 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.
handoff_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the handoff_list 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.
Set action: deny in the PolicyLayer policy for handoff_list. 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.
handoff_list 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.
Deterministic rules across all 32 Ainote tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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