Skip to main content
Glama

get_assignment

Retrieve detailed assignment information including instructions, due dates, point values, file requirements, and grading rubrics from D2L Brightspace courses.

Instructions

Get full details about a specific assignment including complete instructions, due date, point value, allowed file types, and grading rubrics. Use after get_assignments when you need more detail about one assignment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgUnitIdNoThe course ID. Optional if D2L_COURSE_ID env var is set.
assignmentIdYesThe assignment Id from get_assignments. Example: 37812
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates this is a read operation ('Get') and mentions what information is returned, but doesn't address potential limitations like authentication requirements, rate limits, error conditions, or what happens if the assignment doesn't exist. The description adds some value but leaves important behavioral aspects unspecified.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose and scope, while the second provides crucial usage guidance. No wasted words or redundant information.

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 read operation with 2 parameters and 100% schema coverage, the description provides good context about what information is returned and when to use the tool. However, without annotations or an output schema, it could benefit from more detail about the return format or potential limitations. The description is mostly complete but has minor gaps.

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?

With 100% schema description coverage, the schema already documents both parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline score of 3 is appropriate when the schema does all the parameter documentation work.

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 verb ('Get') and resource ('full details about a specific assignment'), specifying what details are included (instructions, due date, point value, etc.). It distinguishes from sibling 'get_assignments' by indicating this is for detailed information about one specific assignment rather than a list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool ('Use after get_assignments when you need more detail about one assignment'), providing clear context and naming the specific alternative tool. This gives the agent perfect guidance on tool selection.

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/bencered/d2l-mcp-server'

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