This record as markdown: /tools/94aharris-coach-ai/add-todo.md
What add_todo does on Coach AI
AI agents use add_todo to create or update resources in Coach AI, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Coach AI environment.
Why add_todo is rated Medium
This tool creates or adds new task records in a task management system, which is a reversible write operation. It has no side effects beyond data creation, does not execute code or external operations, and does not delete or move funds. The blast radius of misuse is low—erroneous tasks can be deleted or corrected.
From the tool's definition Tool name 'add_todo' combined with sibling tools including 'complete_todo' and 'delete_todo' indicate a task management system. The name suggests creation of new task items.
Attacks that exploit this kind of access
The rule that runs add_todo safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Coach AI, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_todo, this is the rule to start with:
add_todo 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 Coach AI, apply this rule, and every add_todo call is checked against it from then on.
Questions about add_todo
add_todo is a write tool on the Coach AI MCP server. It is categorised as a Write tool in the Coach AI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coach AI MCP server in PolicyLayer and add a rule for add_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 Coach AI. Nothing to install.
add_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 add_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 add_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.
add_todo is provided by the Coach AI MCP server (94aharris/coach-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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