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tiflux_list_tickets

Read-onlyIdempotent

Lista chamados com filtros (situação, mesa, cliente, estágio, responsável, solicitante, período, SLA a vencer). Devolve total_items com o total real do filtro, use-o antes de concluir qualquer contagem.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
desk_idsNo
group_byNo
date_typeNo
filter_byNo
stage_idsNo
client_idsNo
end_datetimeNo
priority_idsNo
requestor_idsNo
start_datetimeNo
requestor_emailNo
responsible_idsNo
sla_expiring_beforeNo
services_catalogs_item_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds valuable context about total_items reflecting the real filter total, which is important for pagination and counting. This goes beyond the annotations without contradicting them.

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?

The description is two sentences, front-loaded with the core action, and contains no filler. It efficiently communicates both the purpose and one critical behavioral note.

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 16 parameters and no output schema, the description is insufficient. It only mentions total_items but not the response structure, how filters combine, pagination semantics, or the meaning of obscure parameters like group_by and date_type. Agents are left with many ambiguities.

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

Parameters2/5

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

Schema coverage is 0%, and the description only vaguely lists filter categories like 'situação, mesa, cliente' without mapping them to specific parameter names. Many parameters (limit, offset, group_by, date_type, priority_ids, requestor_email, services_catalogs_item_ids) are entirely unaddressed, leaving significant meaning gaps.

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 'List tickets with filters' and enumerates the filter dimensions (situação, mesa, cliente, etc.), making the tool's purpose explicit. It does not explicitly distinguish itself from sibling tiflux_get_tickets, but the resource and verb are unambiguous.

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?

It gives a specific usage hint: use the returned total_items before concluding any count. However, it lacks guidance on when to prefer this over similar tools like tiflux_get_tickets or other list tools, and no exclusions are mentioned.

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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