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marqprochat

personaleasy-mcp-server

by marqprochat

KPIs de produção

personaleasy_get_kpi_producao
Read-only

Retrieve production KPIs for a given date range, with optional filters by unit and provider, to monitor dashboard performance metrics.

Instructions

Retorna dados de produção (KPIs de dashboard) no período informado. Filtros opcionais por unidade e por prestador.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dt_inicioYesData inicial do período, formato YYYY-MM-DD
dt_terminoYesData final do período, formato YYYY-MM-DD
nm_unidadeNoNome da unidade para filtrar. Vazio retorna todas.
nm_prestadorNoNome do prestador para filtrar. Vazio retorna todos.
Behavior5/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is clear. The description adds no behavioral contradictions and is consistent with annotations, which is sufficient. No additional behavioral details are needed beyond what annotations provide.

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 a single, concise sentence that efficiently conveys the core purpose and filter options. It is front-loaded with the main action ('Retorna dados de produção') and uses no unnecessary words.

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 that the tool has 4 parameters with complete schema descriptions, no output schema, and is a simple read-only KPI retrieval, the description adequately covers the tool's functionality. It does not need to explain return values explicitly since the dashboard KPI context is implied.

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%, so the input schema already documents all four parameters with descriptions, formats, and defaults. The description adds no new information about parameters beyond what the schema provides, meeting the baseline but not exceeding it.

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 that the tool returns production KPI (dashboard) data within a given period, mentioning optional filters for unit and provider. While it effectively describes the tool's purpose, it does not explicitly distinguish itself from sibling tools beyond implying it focuses on production KPIs.

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 indicates when to use the tool (when production KPI data is needed) and notes optional filters, but it offers no guidance on when to NOT use it or how it compares to sibling tools (e.g., scheduling or provider lookups). Usage context is implied but not explicit.

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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