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iseppo

e-arveldaja MCP Server

by iseppo

Validate Invoice Data

validate_invoice_data
Read-onlyIdempotent

Validates invoice totals, item totals, dates, and foreign-currency EUR-rate guardrails to ensure data accuracy 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)
Behavior5/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, and the description adds specific validation scope (totals, items, dates, EU rate guardrails), which is consistent and provides additional behavioral context beyond the 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?

The description is a single sentence (16 words) that front-loads the verb 'Validate' and includes all key elements without fluff.

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?

Given 11 parameters and no output schema, the description covers the input scope but lacks details on return value or validation result structure, which could help an agent use the tool correctly.

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%, and the description provides a high-level summary of what parameters are validated but does not add detailed constraints or format beyond the schema. Baseline 3 is appropriate.

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 tool validates invoice totals, item totals, dates, and foreign-currency EUR-rate guardrails before booking. It uses a specific verb and resource and distinguishes itself from sibling invoice tools as the only validation tool.

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

Usage Guidelines4/5

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

The description specifies 'before booking', indicating when to use it. However, it does not explicitly mention when not to use or provide alternatives, though the context makes it clear it's a pre-booking validation step.

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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