AI agents call consultar_feriados to retrieve information from MCP Brasil API without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves holiday information from Brazilian public databases. It performs a read-only query operation with no ability to modify, delete, or execute arbitrary code. The naming pattern and server context confirm it is a simple data lookup utility.
From the tool's definition Tool name 'consultar_feriados' means 'query holidays' in Portuguese. Sibling tools on this server (consultar_cep, consultar_cnpj, consultar_cambio) are all read-only query operations against Brazilian public data.
Documented attack patterns abuse exactly the kind of access consultar_feriados gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Brasil API, and nothing reaches the server without passing your rules. This is the rule we recommend for consultar_feriados:
{
"version": "1",
"default": "deny",
"tools": {
"consultar_feriados": {}
}
}consultar_feriados is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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consultar_feriados. It is categorised as a Read tool in the MCP Brasil API MCP Server, which means it retrieves data without modifying state.
Register the MCP Brasil API MCP server in PolicyLayer and add a rule for consultar_feriados: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Brasil API. Nothing to install.
consultar_feriados is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the consultar_feriados rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for consultar_feriados. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
consultar_feriados is provided by the MCP Brasil API MCP server (lucianfialho/mcp-brasil-api). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Brasil API, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 MCP Brasil API tools catalogued and risk-classified — across an index of 43,000+ MCP servers.