batch_assign_timeframes

What batch_assign_timeframes does on Coach AI

AI agents use batch_assign_timeframes 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 batch_assign_timeframes is rated Medium

The tool appears to update task timeframes in bulk, which is a write operation that modifies task metadata. While the description is empty, the naming pattern and context from sibling tools strongly indicate data modification. This is classified as Write rather than Execute because it appears to update existing task properties rather than trigger external actions or code execution.

From the tool's definition Tool name 'batch_assign_timeframes' suggests bulk modification of task scheduling/timing data. Sibling tools like 'add_todo', 'complete_todo', and 'break_down_task' indicate this server manages task state.

Risk signalsBulk/mass operation — affects multiple targets

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

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

Questions about batch_assign_timeframes