set_todo_timeframe

Assign temporal timeframe to a todo.

SERVERCoach AI SOURCE94aharris/coach-ai

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/94aharris-coach-ai/set-todo-timeframe.md

WHAT IT DOES

What set_todo_timeframe does on Coach AI

AI agents use set_todo_timeframe 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.

RISK

Why set_todo_timeframe is rated Medium

This tool modifies a todo item's timeframe attribute, which is a reversible change to task metadata. It does not execute external code, delete data, move money, or produce irreversible side effects. The modification is limited to scheduling information on a user's todo item.

From the tool's definition Tool name 'set_todo_timeframe' and description 'Assign temporal timeframe to a todo' indicate modification of existing task metadata (timeframe/scheduling information). The verb 'Assign' and action of setting a temporal property constitute data modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_todo_timeframe 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 set_todo_timeframe, this is the rule to start with:

set_todo_timeframe Rate-limited

set_todo_timeframe 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_todo_timeframe": {
      "limits": [
        {
          "counter": "set_todo_timeframe_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Coach AI, apply this rule, and every set_todo_timeframe call is checked against it from then on.

FAQ

Questions about set_todo_timeframe

What does the set_todo_timeframe tool do? +

Assign temporal timeframe to a todo. 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.

How do I enforce a policy on set_todo_timeframe? +

Register the Coach AI MCP server in PolicyLayer and add a rule for set_todo_timeframe: 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.

What risk level is set_todo_timeframe? +

set_todo_timeframe is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_todo_timeframe? +

Yes. Add a rate_limit block to the set_todo_timeframe 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.

How do I block set_todo_timeframe completely? +

Set action: deny in the PolicyLayer policy for set_todo_timeframe. 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.

What MCP server provides set_todo_timeframe? +

set_todo_timeframe 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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