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list_students

Retrieves the student roster, including names and emails, for a Google Classroom course using its course ID.

Instructions

Student roster (names and emails) for a course.

Args: course_id: Course id from list_courses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'List' plus the return-content disclosure (names and emails) establishes this as a read, and the course_id provenance is useful. However, it says nothing about permissions, pagination, or what happens with an invalid course_id.

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

Conciseness4/5

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

Two short lines, front-loaded with the resource and return fields before the argument note. No wasted prose, though the 'Args:' block is slightly formal for a single parameter.

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 tool with no output schema and no annotations, the description covers the essentials: what it returns and where the argument comes from. Missing pagination/volume and error context keeps it from a 5.

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

Parameters4/5

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

Schema description coverage is 0% — the schema only says 'Course Id'. The description compensates by identifying the argument's source ('Course id from list_courses'), which is real value beyond the schema. It does not describe the id's format or failure behavior, so not a 5.

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?

States a specific resource and scope ('student roster for a course') and discloses the returned fields (names and emails), which distinguishes it from siblings like list_teachers or list_submissions. It does not explicitly name or contrast with those siblings, so it falls short of a 5.

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?

Usage is only implied: the tool is clearly for enumerating a course's students, and the note that course_id comes 'from list_courses' hints at the prerequisite call. There is no explicit when-to-use vs when-not-to-use guidance or named alternative.

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