Manage todo lists (collections of todos). Operations: create, get, update, archive, delete, list, add_todo, remove_todo, get_stats. Examples: - Create: todo_list(operation=
AI agents call todo_list to retrieve information from M I M I R Multi Agent Intelligent Memory & Insight Repository without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though todo_list only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Documented attack patterns abuse exactly the kind of access todo_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and M I M I R Multi Agent Intelligent Memory & Insight Repository, and nothing reaches the server without passing your rules. This is the rule we recommend for todo_list:
{
"version": "1",
"default": "deny",
"tools": {
"todo_list": {}
}
}todo_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Manage todo lists (collections of todos). Operations: create, get, update, archive, delete, list, add_todo, remove_todo, get_stats. Examples: - Create: todo_list(operation=. It is categorised as a Read tool in the M I M I R Multi Agent Intelligent Memory & Insight Repository MCP Server, which means it retrieves data without modifying state.
Register the M I M I R Multi Agent Intelligent Memory & Insight Repository MCP server in PolicyLayer and add a rule for todo_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 M I M I R Multi Agent Intelligent Memory & Insight Repository. Nothing to install.
todo_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 todo_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 todo_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.
todo_list is provided by the M I M I R Multi Agent Intelligent Memory & Insight Repository MCP server (orneryd/mimir). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 M I M I R Multi Agent Intelligent Memory & Insight Repository tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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13 M I M I R Multi Agent Intelligent Memory & Insight Repository tools catalogued and risk-classified — across an index of 42,500+ MCP servers.