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thomaschi78

BCB Meios de Pagamento MCP

by thomaschi78

consultar_transacoes_cartoes

Retrieve card payment transaction data by quarter, including total quantity and value. Use it to analyze payment card usage trends from Brazilian Central Bank open data.

Instructions

Consulta estoque e transações de cartões de pagamento por trimestre. Retorna dados sobre quantidade e valor das transações realizadas com cartões.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoNúmero máximo de registros a retornar (padrão: 100)
filtroNoFiltro OData para refinar a consulta
trimestreYesAno e trimestre no formato YYYYQ (exemplo: '20234')
ordenar_porNoCampo para ordenação (exemplo: 'Trimestre desc')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations are absent, so the description carries the full burden of behavioral disclosure. It does convey that this is a read operation returning quantity and value data, but it contains an internal contradiction between 'estoque e transações' and 'dados sobre... transações', and it omits behavioral traits like pagination (top defaults to 100), OData filtering, and sorting, which materially affect results.

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?

Two front-loaded sentences that state the action and return data efficiently. Minor waste exists: 'transações' and 'cartões' appear in both sentences, and the misleading 'estoque' mention in sentence one could be removed without losing meaning.

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

Completeness2/5

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

With no output schema and no annotations, the description must explain return values and behavior, but it only vaguely says 'quantidade e valor das transações' without structure, pagination, or scope details. It also fails to differentiate from quarterly-payment siblings, leaving an agent uncertain about which tool to invoke.

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 parameter descriptions are already informative, including the YYYYQ format example, the default value of 100, and an OData filter explanation. The tool description adds no parameter meaning beyond echoing 'por trimestre', so the baseline of 3 applies.

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?

States a specific verb and resource (consultar transações de cartões por trimestre) and discloses the return subject (quantidade e valor das transações). However, the first sentence mentions 'estoque e transações' while the second clarifies only transaction data is returned, creating ambiguity about whether the tool also queries physical card stock.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus the overlapping siblings, particularly consultar_meios_pagamento_trimestral which also queries quarterly payment data. The only implicit context is 'por trimestre' echoed in the required trimestre parameter; no exclusions or alternatives are named.

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