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Feegow Clinic

by io.github.mcp-dir

feegow_appointment_motives

Read-onlyIdempotent

Read appointments and scheduling data in Feegow. Actions:

  • list: search appointments by date range (data_start/data_end DD-MM-YYYY), profissional_id, paciente_id, unidade_id, especialidade_id, procedimento_id, canal_id, retorno, list_procedures (1/0).

  • statuses: list all appointment status types (Marcado, Em atendimento, Atendido, etc.).

  • motives: list cancellation/rescheduling motives.

  • channels: list appointment channels (online, clinic, etc.).

  • available_schedule: find available time slots. Requires tipo (E=Especialidade, P=Procedimento), data_start, data_end (DD-MM-YYYY). Optional: especialidade_id, procedimento_id, unidade_id, profissional_id, convenio_id.

  • queue_position: generate queue ticket (requires unidade_id, tipo_senha: 0=G, 1=P, 2=C, 3=E, 4=R).

[Flattened action: motives]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
accountNo

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the descriptor adds no new behavioral information. The description does not disclose rate limits, authentication needs, or other traits beyond what annotations cover.

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

Conciseness2/5

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

The description is long and includes multiple unrelated actions, making it not concise for this specific tool. The 'Flattened action: motives' note is buried at the end, reducing clarity.

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

Completeness1/5

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

Given the tool's complexity within the appointment suite, the description is incomplete. It does not explain the output format, parameter requirements for motives, or how the tool fits into workflow, leaving agents with insufficient context.

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

Parameters1/5

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

The input schema has two parameters (data, account) with 0% description coverage. The description does not explain how these parameters relate to the motives action, leaving the agent without guidance on parameter usage.

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 lists cancellation/rescheduling motives, distinguishing it from sibling tools like statuses and channels. However, the description also includes a general statement about reading appointments and scheduling data, which could be seen as broad.

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 does not provide any guidance on when to use this tool instead of alternatives like feegow_appointment_statuses or feegow_appointment_list. It simply describes the action without context for selection.

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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TDQS

D1.9/5.0
Disambiguation1/5

Many tools have identical descriptions (e.g., multiple tools with same 'Read appointments and scheduling data' text) and only differ by a 'flattened action' label, making it impossible for an agent to distinguish which tool to call for a specific operation.

Naming Consistency2/5

Names follow a loose verb_noun pattern but are extremely inconsistent: some use underscores, some have redundant prefixes like 'feegow_appointment_', and the same actions are duplicated across multiple tool names (e.g., 'list' appears in many). The 'flattened action' suffix is confusing.

Tool Count1/5

94 tools is far too many for a clinic management system. This is clearly due to a one-action-per-tool design that fragments the API surface, making the server bloated and hard to navigate. A typical well-structured server for this domain would have 10-20 tools.

Completeness3/5

The server covers many areas (appointments, patients, financial, procedures, stock, etc.), suggesting broad functionality. However, the fragmentation obscures gaps and makes it difficult to determine if all CRUD operations exist for each entity. Some areas (e.g., stock write) have multiple tools for single actions.

Resources