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Glama

Turma completa

get_turma

Fetches a class's virtual classroom details—topics, materials, participants, grades, attendance, tasks, assessments, news, forums, files, polls, and course plan—using frontEndIdTurma.

Instructions

Everything readable in a turma's virtual classroom: lesson topics (with materials), participants, the student's grades, attendance, tasks, assessments, class news, forums, references, file list, questionnaires/polls and the course plan. Pass the frontEndIdTurma from get_portal.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "frontEndIdTurma": "<frontEndIdTurma>"
    },
    "name": "get_turma"
  }
}

Input Schema

NameRequiredDescriptionDefault
frontEndIdTurmaYesThe turma handle from get_portal's enrolledClasses[].frontEndIdTurma

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.1

TDQS

A4/5.0
Behavior3/5

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

With no annotations, "Everything readable" usefully implies a read-only, access-limited retrieval, while the content list clarifies what the call gathers. However, it does not disclose response size or pagination, whether materials and forums are returned inline or as metadata, permission requirements, or error behavior.

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 sentences front-load the tool's scope and then provide the required input source. The list is long, but each item helps define an unusually broad result and there is no filler.

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?

For a one-parameter read, the description supplies enough scope and input provenance to select and invoke it, which is especially useful because there is no output schema. It remains incomplete about result representation, volume or pagination, and selection versus the detail and download siblings.

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?

The schema already fully documents the sole parameter, including its exact location in get_portal's enrolledClasses array. The description's instruction to pass that value from get_portal reinforces the workflow but adds little parameter meaning beyond the schema, so the high-coverage baseline applies.

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?

The description identifies a read of a complete turma virtual classroom and enumerates the included resources, making its broad aggregate scope clear. That breadth also distinguishes it from narrower siblings such as get_news_detail and get_participant_profile, even though they are not named as alternatives.

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?

It provides a concrete workflow prerequisite by directing the agent to pass frontEndIdTurma obtained from get_portal. It does not explain when this aggregate is preferable to narrower sibling tools or when not to use it, so the guidance is clear but not exhaustive.

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