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iseppo

e-arveldaja MCP Server

by iseppo

Month-End Close Checklist

month_end_close_checklist
Read-onlyIdempotent

Generate a month-end close checklist for a given month, flagging unconfirmed journals/invoices, unreconciled bank transactions, and overdue receivables/payables.

Instructions

Generate month-end checklist: unconfirmed journals/invoices, unreconciled bank transactions, and overdue receivables/payables. Overdue = due date before overdue_as_of (the month's last day, or today while the month is still open; invoices falling due from today up to and including month-end are listed separately under due_before_month_end_*).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freshNoClear cached API/reference data before running the checklist (use after web UI changes).
monthYesMonth to check (YYYY-MM, e.g. 2026-02)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.29.2
    • addedInput schema / additionalProperties
      Added value: +false
  2. Addedv0.25.3
  3. Removedv0.25.2
  4. First observedv0.18.1

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the overdue computation boundary logic (last day of month, or today while open), which is useful operational context, but says nothing additional about caching behavior beyond what the fresh param already documents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the tool's output content before the boundary definition. Dense but every clause earns its place; the parenthetical aside is long but necessary to disambiguate the overdue window.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description carries the return-shape burden, and it does list the checklist's categories plus the due_before_month_end_* split. It stops short of describing response structure or ordering, but covers the essentials for a read-only checklist generator.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters (month, fresh) are already fully documented in the schema. The description references overdue_as_of and due_before_month_end_* but these are output fields, not inputs, so it adds no parameter syntax or format detail beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Generate) and resource (month-end checklist) and enumerates exactly what it contains: unconfirmed journals/invoices, unreconciled bank transactions, overdue receivables/payables. This is clearly distinguishable from sibling analysis tools like compute_receivables_aging or compute_payables_aging, which produce single-dimension reports.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The name and content list imply when the tool is useful (month-end review), but there is no explicit when-to-use guidance, no when-not, and no routing to alternatives like compute_receivables_aging or analyze_unconfirmed_transactions. The usage context is inferred rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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