Skip to main content
Glama
mutonby

Aikount MCP

modelo_303_csv

Returns per-transaction VAT breakdown for a given year and quarter as CSV, enabling audit of quarterly VAT figures.

Instructions

Modelo 303 backing detail for one quarter as CSV text.

Returns the per-transaction breakdown (one row per invoice/purchase line: date, doc, contact, base, rate, iva, input/output) that the quarter's VAT figures are built from — useful for auditing the numbers. For the aggregated box totals, use modelo_303_summary.

Args: year: e.g. 2026. quarter: 1-4.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
quarterYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but description discloses return format (CSV text) and data content (per transaction breakdown), and implies read-only behavior. Lacks details on auth or limits but sufficient for safe invocation.

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?

Description is concise, front-loaded with purpose, then distinguishes from sibling, then lists args. No wasted words.

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

Completeness5/5

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

Simple tool with only 2 params; description explains output fully and references sibling. Output schema exists, so no need to detail return structure further.

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?

Schema coverage is 0%, but description adds examples (e.g., 2026 for year, 1-4 for quarter) and clarifies quarter range, adding meaning beyond schema types.

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 it returns 'Modelo 303 backing detail for one quarter as CSV text' with per-transaction breakdown, and distinguishes it from sibling tool modelo_303_summary for aggregated totals.

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

Usage Guidelines5/5

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

Explicitly says when to use this tool ('useful for auditing the numbers') and when to use the sibling ('For the aggregated box totals, use modelo_303_summary').

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mutonby/aikount-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server