personal_month

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-month.md

WHAT IT DOES

What personal_month does on Balance Engine

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

Parameter	Type	Required	Description
`date`	string	—	Optional YYYY-MM-DD to pin which flow month to use.
`birth`	object	—	Optional birth profile. If omitted, uses the cloud profile saved on the paid account.
`month`	string	—	Month YYYY-MM. Default: current month.
`locale`	string	—	Reply language. zh (default) or en.

Parameters from the server's own tool schema.

RISK

Why personal_month is rated Low

Without any rule in front of it, every call an agent makes to personal_month 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_month 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_month, this is the rule to start with:

personal_month Rate-limited

personal_month 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_month": {
      "limits": [
        {
          "counter": "personal_month_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_month call is checked against it from then on.

FAQ

Questions about personal_month

What does the personal_month 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 我这个月怎么样 / 我哪周该推进 / 我这个月适不适合上线 / my month. Personalized flow-month: day-master vs month stem, dated sky, sandbox assumptions, fold-memory prompts. 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_month accept? +

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

How do I enforce a policy on personal_month? +

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

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

Can I rate-limit personal_month? +

Yes. Add a rate_limit block to the personal_month 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_month completely? +

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

personal_month 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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