Update an existing TODO item
AI agents use update_todo to create or update resources in Agent Todo — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Todo environment.
This tool modifies existing TODO items but does not delete or irreversibly overwrite data. The modification is reversible—an update can be undone by updating again with prior values. Severity is medium because misuse could corrupt task tracking data for a project, but the impact is limited to TODO items and can be recovered.
From the tool's definition Tool name 'update_todo' and description 'Update an existing TODO item' indicate modification of existing data.
Attacks that exploit this kind of access
Update an existing TODO item. It is categorised as a Write tool in the Agent Todo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Todo MCP server in PolicyLayer and add a rule for update_todo: 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 Agent Todo. Nothing to install.
update_todo 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 update_todo 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 update_todo. 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.
update_todo is provided by the Agent Todo MCP server (w04m1/agent-todo-mcp). 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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