personal_day

SERVERBalance Engine SOURCEbalance-engine-mcp

Low RISK CLASS

Category Other

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/balance-engine-mcp/personal-day.md

WHAT IT DOES

What personal_day does on Balance Engine

AI agents call personal_day 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.
`hour`	string	—	Clock HH:MM or earthly branch 子–亥 (e.g. 14:30 or 未). Adds hour-pillar ten-god.
`birth`	object	—	Optional birth profile. If omitted, uses the cloud profile saved on the paid account.
`locale`	string	—	Reply language. zh (default) or en.

Parameters from the server's own tool schema.

RISK

Why personal_day is rated Low

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

Risk signalsHigh parameter count (10 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

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

personal_day Rate-limited

personal_day 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": {
    "personal_day": {
      "limits": [
        {
          "counter": "personal_day_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 personal_day call is checked against it from then on.

FAQ

Questions about personal_day

What does the personal_day 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 我今天怎么样 / 我今天下午适不适合见面 / 未时基调 / 我的日主和今天什么关系 / my day. Personalized: day-master vs today's stem (十神) + optional hour pillar. Requires BALANCE_API_KEY + birth profile. Empty key → error personal_timetable_requires_key; use free tools instead. Not a fortune verdict. It is categorised as a Other tool in the Balance Engine MCP Server, which means it performs auxiliary operations.

What parameters does personal_day accept? +

personal_day accepts 4 parameters: date, hour, birth, locale. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on personal_day? +

Register the Balance Engine MCP server in PolicyLayer and add a rule for personal_day: 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 personal_day? +

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

Can I rate-limit personal_day? +

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

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

personal_day 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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