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-mcp-knowledge/gl-reconciler.md
What gl_reconciler does on Mcp Knowledge
AI agents invoke gl_reconciler to trigger actions in Mcp Knowledge. 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
This tool executes automated reconciliation processes, generates journal entry suggestions, and produces structured audited deliverables. It actively runs financial operations (GL reconciliation across AR/AP/intercompany entries) rather than merely reading data.
From the tool's definition 'Run an automated GL reconciliation', 'suggest journal entries', 'flag open items', 'sign-off routing and resolution plan'
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 Mcp Knowledge, 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 Mcp Knowledge, 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 Mcp Knowledge 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 Mcp Knowledge 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 Mcp Knowledge. 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 Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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