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SidneyBissoli

Senado BR — Brazilian Federal Senate Open Data

senado_horas_extras

Read-onlyIdempotent

Retrieve overtime payments for Brazilian Federal Senate employees by year and month. Filter by name and limit results to analyze salary extras.

Instructions

Horas extras pagas a servidores do Senado em ano/mes de referência (a partir de 2013). Retorna { ano, mes, count, total, valorTotal, horasExtras[] }, onde valorTotal soma o gasto do mês e cada item traz nome, valorTotal, horasExtras, competencia e pagamento. Filtro opcional por nome (busca parcial) e limite (padrão 100, máx 500). Para a remuneração completa do servidor use senado_remuneracoes_servidores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
anoYesAno de referência
mesYesMês de referência
nomeNoNome do servidor (busca parcial)
limiteNoMáximo de resultados (padrão: 100)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint false. Description adds that data is from 2013 onward and details the return structure, but does not contradict annotations. It provides useful context without overstating effects.

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 concise sentences that front-load the purpose and gradually add details. Every sentence is informative with no waste.

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?

Given no output schema, the description fully explains the return structure (fields and meaning) and optional filters. It also mentions the starting year and relation to sibling tool, making it complete for an agent to understand the tool's behavior.

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 coverage is 100% with clear descriptions for all 4 parameters. Description repeats the schema info (partial search for nome, default/max for limite) but adds no new meaning beyond a concise summary. Baseline 3 is appropriate.

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 overtime payments for Senate employees by year/month, with specific verb 'retorna' and resource 'horas extras pagas'. It distinguishes from sibling tool 'senado_remuneracoes_servidores' by explicitly directing users there for full compensation.

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?

Provides explicit when-to-use (list overtime for a given month/year) and when-not-to-use (for full compensation, use sibling). Also mentions optional filters and defaults.

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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