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iseppo

e-arveldaja MCP Server

by iseppo

Validate Invoice Data

validate_invoice_data
Read-onlyIdempotent

Validates extracted invoice totals, item totals, dates, and foreign-currency exchange rate guardrails to ensure data integrity before booking.

Instructions

Validate extracted invoice totals, item totals, dates, and foreign-currency EUR-rate guardrails before booking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesItems with at least {total_net_price, vat_rate_dropdown?} each.
vat_noNoSupplier VAT number (KMKR, e.g. EE102809963)
due_dateNoDue date (YYYY-MM-DD)
reg_codeNoSupplier registry code (registrikood, 8-digit Estonian business code)
total_netYesInvoice total net amount
total_vatYesInvoice total VAT amount
total_grossYesInvoice total gross amount
invoice_dateNoInvoice date (YYYY-MM-DD)
currency_rateNoPlanned exchange rate (EUR per 1 foreign unit)
base_net_priceNoPlanned EUR-equivalent net amount
cl_currencies_idNoInvoice currency (default EUR)
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds specific validation scope (totals, items, dates, currency guardrails), providing useful context beyond annotations.

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

Conciseness5/5

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

Single sentence of 16 words, front-loaded with key action and scope, no redundancy.

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

Completeness3/5

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

Despite 11 parameters and no output schema, the description covers main validation categories but omits return value or error behavior, leaving some ambiguity about what the tool outputs.

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

Parameters4/5

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

Input schema has 100% description coverage, so parameter meanings are clear. The description adds high-level grouping (totals, dates, currency guardrails) that complements the schema.

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?

The description clearly states the verb 'validate' and specifies the resources: invoice totals, item totals, dates, and foreign-currency EUR-rate guardrails. It is distinct from sibling tools that create or confirm invoices.

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?

Indicates 'before booking' as usage context, but does not explicitly state when not to use it or list alternative validation tools like check_tax_free_limits or detect_duplicate_purchase_invoice.

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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