budget_variance_ai

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Critical RISK CLASS

Category Financial

Parameters 42 required

Recommended Approval-gatedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/budget-variance-ai.md

WHAT IT DOES

What budget_variance_ai does on Gapup Mcp

AI agents use budget_variance_ai to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.

Parameter	Type	Required	Description
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`focus`	string	—
`entity`	object	Yes
`budgetContext`	object	Yes

Parameters from the server's own tool schema.

RISK

Why budget_variance_ai is rated Critical

This tool provides CFO-level financial analysis including budget vs actual variance, forecast revisions across scenarios, and board-ready financial memos. It directly informs financial decision-making at the executive level and commits per-call financial charges (x402 agent-payable).

From the tool's definition budget variance analysis, CFO-level C-suite expertise, 'Revise the Q4 forecast', 'board-ready budget variance memo', budget €<X>M vs actual, x402 per-call agent-payable

Risk signalsHigh parameter count (13 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs budget_variance_ai safely

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

budget_variance_ai Approval-gated

Any call to budget_variance_ai is blocked until a human approves it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "budget_variance_ai": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

GATE THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about budget_variance_ai

What does the budget_variance_ai tool do? +

Analyse d'écart budgétaire — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Answers: Explain the key drivers of the budget vs actual variance for <company> in <period> — what are the top 10 narrative explanations? · Which cost categories drove the budget overrun for <company> in <quarter>, and what corrective actions should management take? · Revise the Q4 forecast based on observed Q3 variances for <company> — give me 3 scenarios (base, optimistic, conservative). · Prepare a board-ready budget variance memo for <company> — <period>, budget €<X>M vs actual €<Y>M, with management actions. · What are the quick wins to reduce budget overspend for <company> by end of quarter without impacting growth targets? Reference case: Doctolib Q3 2026 — budget €38.5M vs actual €41.2M (+7.0%) — cloud + headcount + deals timing. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Gapup Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does budget_variance_ai accept? +

budget_variance_ai accepts 4 parameters: async, focus, entity, budgetContext. Required: entity, budgetContext. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on budget_variance_ai? +

Register the Gapup MCP server in PolicyLayer and add a rule for budget_variance_ai: 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 Gapup Mcp. Nothing to install.

What risk level is budget_variance_ai? +

budget_variance_ai is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit budget_variance_ai? +

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

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

budget_variance_ai is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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