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mutonby

Aikount MCP

modelo_303_summary

Get a JSON summary of quarterly VAT returns (Modelo 303) showing sales base, output and input VAT, and net amount per quarter for machine-readable analysis.

Instructions

Modelo 303 (quarterly VAT) — JSON summary of every quarter with activity.

One row per (year, quarter): sales base, output VAT, rectified VAT, input VAT, and the net amount to pay. Use this for a machine-readable overview; use modelo_303_csv for the AEAT-format file of one quarter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses it returns JSON with per-quarter data and fields. It does not mention side effects, authentication, or data freshness, but given it's a read-only query, the level of transparency is adequate.

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?

Two sentences front-load the tool's purpose and usage guidance without any redundant or irrelevant content.

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?

The description is complete for a zero-parameter tool with no output schema: it explains output type, content, and distinguishes from sibling. Slightly more detail on JSON structure would improve completeness.

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?

No parameters exist in the input schema, and schema coverage is 100%. Per guidelines, baseline score is 4; no additional parameter description needed.

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?

Description clearly states the tool returns a JSON summary of every quarter's VAT activity, listing specific fields. It distinguishes from sibling modelo_303_csv by noting it provides a machine-readable overview versus a single-quarter AEAT file.

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 advises use of this tool for machine-readable overviews and directs to modelo_303_csv for AEAT-format single quarter files, providing clear when-to-use guidance.

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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