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tiflux

TiFlux MCP Server

Official
by tiflux

list_entities

Retrieve custom field groups in TiFlux, showing their enabled applications and IDs needed to list specific fields.

Instructions

Listar campos personalizados (entities) disponiveis na organizacao TiFlux. Use para descobrir quais grupos de campos personalizados existem, em quais aplicacoes estao habilitados (ticket, client, etc.) e seus IDs — necessarios para usar list_entity_fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activeNoFiltrar entities ativas (true) ou inativas (false). Padrao: todos.
applied_inNoFiltrar por aplicacao: "ticket", "client", "solicitant", "services_catalog", "services_catalogs_area", "services_catalogs_item", "equipment".
nameNoFiltro por nome da entity (match parcial).
limitNoNumero de resultados por pagina (padrao: 20, maximo: 200)
offsetNoNumero da pagina (padrao: 1)
Behavior3/5

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

No annotations provided, so description must cover behavioral traits. It describes a read operation but does not explicitly state read-only nature or mention pagination, rate limits, or side effects. Sufficient for a simple list operation.

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 efficient sentences with no wasted words. Purpose and use case are front-loaded, and key information is delivered succinctly.

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?

While lacking output schema and annotations, the description provides sufficient context for discovering entities and linking to list_entity_fields. Does not mention pagination details but schema covers limit/offset.

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 parameter details are already in schema. Description adds no extra meaning beyond mentioning 'aplicacoes' which maps to applied_in, but schema already covers that.

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 lists custom fields/entities, specifying it discovers groups, applications, and IDs. It distinguishes from sibling 'list_entity_fields' by noting the IDs are necessary for that tool.

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

Usage Guidelines4/5

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

Description explicitly says 'Use to discover...' providing clear usage context. While it does not list when not to use, the purpose is well-defined among siblings.

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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