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Frihet-io

Frihet MCP Server

Get Quarterly Taxes

get_quarterly_taxes
Read-onlyIdempotent

Retrieve quarterly tax preparation data including Modelo 303 and 130, revenue and expense totals, and tax collected vs deductible for filing with AEAT or ATC.

Instructions

Get quarterly tax preparation data — Modelo 303 (IVA/IGIC), Modelo 130 (IRPF income tax advance), revenue/expense totals, tax collected vs deductible. Defaults to current quarter. Essential for filing quarterly tax returns with AEAT or ATC (Canary Islands). / Datos de preparacion de impuestos trimestrales — Modelo 303, Modelo 130, totales de ingresos/gastos, impuesto repercutido vs soportado. Por defecto trimestre actual.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quarterNoQuarter in YYYY-Q# format (defaults to current quarter). Example: '2026-Q1' / Trimestre en formato YYYY-Q# (por defecto trimestre actual)
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description's behavioral value is limited. It adds that the tool defaults to the current quarter and lists the data returned (e.g., Modelo 303, revenue totals), but does not disclose other potential behaviors like performance characteristics or error conditions.

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?

The description is concise and front-loaded with the key purpose. It is bilingual (English/Spanish), which adds length but is necessary for the target audience. Every sentence adds value, though the duplication across languages slightly reduces conciseness.

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?

Given the one optional parameter and no output schema, the description sufficiently explains the returned data (Modelo 303, Modelo 130, totals). It does not cover authorization or rate limits, but annotations already indicate a safe read operation. Overall, it provides enough context for an AI agent to understand the tool's output and usage.

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?

The input schema has 100% coverage for the single parameter 'quarter', with a description that already includes format and default behavior. The tool description only reiterates 'Defaults to current quarter' without adding new semantic context beyond what the schema provides.

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

Purpose4/5

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

The description clearly states it retrieves quarterly tax preparation data including specific forms (Modelo 303, Modelo 130) and totals, with a verb 'Get' and resource 'quarterly taxes'. However, it does not explicitly differentiate itself from sibling tools like get_modelo_130_summary or get_modelo_303_summary, which could lead to confusion about which tool to use for individual form retrieval.

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 description mentions it defaults to the current quarter and is 'essential for filing quarterly tax returns,' implying a specific use case. However, it does not provide guidance on when to use this consolidated tool versus the individual model summary tools, nor does it specify exclusions or prerequisites.

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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