This record as markdown: /tools/todos/extend-task.md
What extend_task does on Todos
AI agents use extend_task to create or update resources in Todos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todos environment.
Why extend_task is rated Medium
This tool modifies task properties (extending time allocation) but does not delete data, execute code, move money, or trigger external operations. It is a straightforward Write operation that updates task state in a reversible manner. Severity is low because extending a task deadline has minimal blast radius—it delays work but doesn't corrupt data or cause cascading failures.
From the tool's definition Tool name 'extend_task' and description 'Add more time to a task' indicate modification of task metadata (duration/deadline), which is a reversible update operation.
Attacks that exploit this kind of access
The rule that runs extend_task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For extend_task, this is the rule to start with:
extend_task stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every extend_task call is checked against it from then on.
Questions about extend_task
Add more time to a task. It is categorised as a Write tool in the Todos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todos MCP server in PolicyLayer and add a rule for extend_task: 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 Todos. Nothing to install.
extend_task is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the extend_task 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 extend_task. 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.
extend_task is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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