gl_reconciler
GL Reconciler — Réconciliation grand livre — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Answers: Identify the root causes of the <N> GL breaks in <company>'s ledger for <period> — cluster them and rank by materiality. · For <company> Q<X> close: which ...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/gl-reconciler.md
What gl_reconciler does on Gapup Mcp
AI agents invoke gl_reconciler to trigger actions in Gapup Mcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| 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 | |
ledgerContext | object | Yes |
Parameters from the server's own tool schema.
Why gl_reconciler is rated High
The tool actively executes automated GL reconciliation processes, suggests journal entries, and performs audited financial analysis with routing and resolution plans. While it appears primarily analytical, the suggestion of journal entries and sign-off routing constitutes triggering external financial operations.
From the tool's definition Run an automated GL reconciliation for <company> — AR/AP/intercompany entries — flag open items, suggest journal entries
Risk signalsHigh parameter count (12 properties) · Admin/system-level operation
Attacks that exploit this kind of access
The rule that runs gl_reconciler 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 gl_reconciler, this is the rule to start with:
gl_reconciler stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every gl_reconciler call is checked against it from then on.
Questions about gl_reconciler
GL Reconciler — Réconciliation grand livre — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Answers: Identify the root causes of the <N> GL breaks in <company>'s ledger for <period> — cluster them and rank by materiality. · For <company> Q<X> close: which accounts have unreconciled items over €<threshold>? Provide a sign-off routing and resolution plan. · Run an automated GL reconciliation for <company> — AR/AP/intercompany entries — flag open items, suggest journal entries. · What are the top 5 systemic control weaknesses causing recurring GL breaks at <company>? Recommend preventive controls. · Generate a month-end close reconciliation report for <company> <period> — breaks by account type, aging analysis, sign-off assignments. Reference case: Acme SaaS Q4 2026 — 47 breaks GL, €1.4M variance non postée. Inputs are validated server-side — send the documented case fields. It is categorised as a Execute tool in the Gapup Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
gl_reconciler accepts 4 parameters: async, focus, entity, ledgerContext. Required: entity, ledgerContext. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for gl_reconciler: 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.
gl_reconciler is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gl_reconciler 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.
Set action: deny in the PolicyLayer policy for gl_reconciler. 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.
gl_reconciler 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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