activity_window

SERVERBalance Engine SOURCEbalance-engine-mcp

Low RISK CLASS

Category Other

Parameters 30 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/balance-engine-mcp/activity-window.md

WHAT IT DOES

What activity_window does on Balance Engine

AI agents call activity_window as a supporting operation in Balance Engine workflows.

Parameter	Type	Required	Description
`date`	string	—	Date YYYY-MM-DD. Default: today in Asia/Shanghai. Use when the user asks about a specific day.
`task`	string	—	What to place: deep_work (default), train, meet, ship, rest.
`locale`	string	—	Reply language. zh (default) or en.

Parameters from the server's own tool schema.

RISK

Why activity_window is rated Low

Without any rule in front of it, every call an agent makes to activity_window happens silently: no trail, no cap, no way to know it misbehaved until something breaks downstream.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs activity_window safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Balance Engine, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For activity_window, this is the rule to start with:

activity_window Rate-limited

activity_window gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "activity_window": {
      "limits": [
        {
          "counter": "activity_window_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about activity_window

What does the activity_window tool do? +

This tool looks up a deterministic rules engine. Same day → same answer. Do not invent pillars or fortune claims. Call when the user asks 今天什么时候适合运动 / 今天哪个时辰适合深工 / 什么时候开会 / 什么时候练 / 什么时候发版 / 什么时候该休息 / activity window / when to exercise. Maps month posture × twelve hours × body load to 2–3 clock windows for task=deep_work|train|meet|ship|rest. Windows are suggested slots, not a guarantee. Not meds, not glucose, not a diagnosis. Public · local · no API key. Preview ≠ prediction. It is categorised as a Other tool in the Balance Engine MCP Server, which means it performs auxiliary operations.

What parameters does activity_window accept? +

activity_window accepts 3 parameters: date, task, locale. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on activity_window? +

Register the Balance Engine MCP server in PolicyLayer and add a rule for activity_window: 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 Balance Engine. Nothing to install.

What risk level is activity_window? +

activity_window is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit activity_window? +

Yes. Add a rate_limit block to the activity_window 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 activity_window completely? +

Set action: deny in the PolicyLayer policy for activity_window. 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 activity_window? +

activity_window is provided by the Balance Engine MCP server (balance-engine-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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