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Expert-Integrado

Conexa MCP

POST /checkin (Conexa Coworking > Check-in)

create_checkin

Registers a check-in for a person at a workspace using person and workspace IDs. Supports retroactive check-in when check-out time is provided.

Instructions

⚠️ Disponível apenas para Conexa Coworking Registro de Check-In (data e hora atuais) através do ID da pessoa ( personId ) e do ID do espaço de trabalho ( workSpaceId ) no sistema Conexa. ℹ️ É permitido realizar um Check-In retroativo, porém é necessário informar horário de Check-Out!

Campos do body:

  • personId (integer) [obrigatório]: ID da pessoa

  • workspaceId (integer) [obrigatório]: ID do espaço de trabalho

  • notes (string): Observações

  • datetime (string): Data e hora do check-in. Formato: W3C ( Y-m-d\TH:i:sP )

  • checkoutDatetime (string) [obrigatório]: Data e hora do check-out, sendo no mesmo dia que o check-in. Formato: W3C ( Y-m-d\TH:i:sP )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesCorpo JSON da requisição (campos na descrição da tool)
Behavior3/5

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

The description adds behavioral context beyond annotations by explaining that retroactive check-ins are allowed and require a checkout datetime. However, it does not clarify what happens when the datetime parameter is omitted (presumably uses current time) or what the tool returns upon success. Annotations already indicate a write operation (readOnlyHint=false) and no destructive effects.

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

Conciseness3/5

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

The description is reasonably structured with warnings and a field list, but it is somewhat verbose with emojis and repeated caution. It could be more concise while retaining clarity.

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

Completeness3/5

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

The description lacks information about the tool's return value or success confirmation, which is important for an agent to know the outcome. It also does not specify default behavior for the datetime field. Given no output schema, the description should provide more context.

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

Parameters5/5

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

The input schema only describes a generic body object, so the description provides all parameter semantics: it lists all fields (personId, workspaceId, notes, datetime, checkoutDatetime), specifies which are required, and gives format constraints for datetime (W3C format). This fully compensates for the minimal schema.

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 the tool creates a check-in record (Registro de Check-In) for a person and workspace in the Conexa Coworking system. It distinguishes itself from sibling tools which create other entities like bills or customers, but there is no other check-in tool, so differentiation is not needed.

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

Usage Guidelines2/5

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

The description mentions it is only available for Conexa Coworking but provides no guidance on when to use this tool versus alternative methods or when not to use it. There is no explicit comparison with sibling tools or conditions for preferred usage.

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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