Visão geral operacional dos tickets

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

With no annotations and no output schema, the description carries the full burden and does disclose the return content (the exact aggregate metrics), which is the key behavioral trait of this read-only tool. It implies a safe read ('Retorna') and notes the filters are optional, but does not discuss permissions, SLA-congelado semantics, or any cost/limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no waste: the first front-loads exactly what is returned, the second front-loads the usage triggers and then the optional filters. Each sentence earns its place, and the metric enumeration is necessary given the absence of an output schema.

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

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

For an aggregate tool with no annotations and no output schema, the description is fairly complete: it explains the returned metrics and the four optional filters. It stops short of noting the read-only nature explicitly or how the period filter interacts with the 'abertos há mais de 7 dias' metric.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it does: it names all four filters (área, departamento, and the abertura period via dataInicio/dataFim) and frames them as optional. It gives meaning but not format detail (the date pattern is only in the schema).

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

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

States a specific verb+resource ('Retorna um retrato geral da operação de tickets') and enumerates the exact metrics returned (total, abertos, fechados, sem operador, SLA congelado, por prioridade, abertos há +7 dias). This is clearly the broad umbrella view, distinguishable in spirit from the many dimension-specific resumo_tickets_por_* siblings, though no sibling is named explicitly.

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

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

Gives concrete natural-language trigger phrases ('como está a operação?', 'tem algo preocupante?', 'me dá uma visão geral') that map broad management questions to this tool. It does not, however, state when to prefer it over dimension-scoped siblings like resumo_tickets_por_status or resumo_tickets_por_area.

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