AI agents call list_actionable_todos to retrieve information from UnClick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | |
agent_id | string | Yes | |
include_description | boolean | — | Include compact job descriptions so runners can keep the source brief while routing. |
Parameters from the server's own tool schema.
This is a simple data retrieval operation that queries a todo list and presents results for an agent to review. It has no side effects—it does not create, modify, delete, or execute any actions. The blast radius of misuse is minimal; an agent could only read task information it may already have access to. Severity is low because exposure does not compromise data integrity or enable harmful actions.
From the tool's definition Tool 'list_actionable_todos' returns/retrieves data (unassigned open todos ranked by priority). Verbs: 'returns' and 'pull' indicate querying without modification. No deletion, creation, execution, or financial operation described.
Attacks that exploit this kind of access
Returns the highest-priority unassigned open todos, ranked so an agent can pull the next best chip without relying on prose handoffs. agent_id required. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
list_actionable_todos accepts 3 parameters: limit, agent_id, include_description. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for list_actionable_todos: 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 UnClick. Nothing to install.
list_actionable_todos 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 list_actionable_todos 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 list_actionable_todos. 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.
list_actionable_todos is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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