Skip to main content
Glama

get_course_grades

Read-onlyIdempotent

Retrieve grades for all users enrolled in a course, with optional filters by user IDs, learning units, and pagination.

Instructions

🟢 READ-ONLY · Courses · GET /v2/courses/{id}/grades

Get course grades

Retrieves the grades of all enrolled users in the course specified by the provided course id. The list is paginated with a limit of 20 grades per page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesUnique identifier of the course
pageNoFilter by the page number. In case page number is higher than the maximum one, the results of last page will be returned
sortNoSpecifies the field to sort by. Allowed values are "created" or "submittedTimestamp".
orderNoSpecifies the order of sorting. Allowed values are "asc" for ascending or "desc" for descending.
usersNoFilter by user ids. For several id values, a comma separated string can be provided
learningUnitsNoFilter by learning unit ids. For several id values, a comma separated string can be provided.
items_per_pageNoFilter by the items per page number
Behavior4/5

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

Annotations already provide readOnlyHint and idempotentHint. The description adds useful behavioral context: pagination with a limit of 20 per page, and that it retrieves grades for all enrolled users. No contradictions.

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?

The description is extremely concise: three lines including a tag, a short title, and a sentence. No redundant information. Each part adds value.

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 tool has 7 parameters but no output schema. The description explains the basic behavior and pagination, but does not describe the return format or fields of grade objects. For a data retrieval tool, this is a minor gap.

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 coverage is 100% with good descriptions for each parameter. The description does not add significant new meaning beyond what the schema provides, except for implying that the result is paginated. Baseline 3 is appropriate.

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 clearly states the action (retrieves), resource (grades), and scope (all enrolled users in a course). It distinguishes from sibling tools like get_course or get_users_per_course by focusing specifically on grades. The verb 'Get' matches the name.

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?

The description implies use for retrieving course grades but does not explicitly state when to use vs alternatives. No exclusions or prerequisites are mentioned. Given the tool's specificity, the usage context is clear but not formally guided.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ohneben/Learnworlds-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server