Skip to main content
Glama

kupid_lms_assignments

Retrieve all assignments for a specific course from Canvas LMS. Optionally filter to show only upcoming assignments.

Instructions

Canvas LMS 과제 목록을 조회합니다.

특정 과목의 전체 과제(assignments) 목록을 가져옵니다. 기본적으로 완료/마감 과제 포함 전체를 반환합니다. kupid_lms_courses로 course_id를 먼저 확인하세요.

Args: course_id: 과목 ID (kupid_lms_courses의 id 필드) upcoming_only: True이면 마감 전 과제만 표시 (기본값: False, 전체 과제 반환)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
upcoming_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It implies a read operation ('조회합니다' means inquiry) but does not explicitly state it is non-destructive or mention other behaviors like pagination, rate limits, or authentication requirements. This is adequate but minimal.

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 very concise with no fluff. It front-loads the main purpose in a single sentence, followed by a brief body and clearly formatted parameter descriptions. Every sentence adds value.

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?

Given the presence of an output schema (return values are covered), the description provides sufficient context for an agent: purpose, prerequisite, parameter semantics, and default behavior. It lacks details on error handling or ordering, but these are minor for a list tool.

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?

With 0% schema coverage, the description adds meaningful explanations for both parameters: course_id is the ID from kupid_lms_courses, and upcoming_only filters with a default value. This goes beyond the schema's bare titles and types, providing clear guidance.

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?

Description clearly states the tool retrieves Canvas LMS assignments for a specific course, using specific verbs and distinguishing from sibling tools like kupid_lms_quizzes and kupid_lms_grades. It also explains default behavior (returns all assignments).

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?

Description explicitly instructs users to first check course_id using kupid_lms_courses (a prerequisite) and explains the effect of the upcoming_only parameter. However, it does not mention when not to use this tool versus alternatives like kupid_lms_submissions.

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/SonAIengine/ku-portal-mcp'

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