Skip to main content
Glama

get_root_outcome_group

Read-only

Retrieve the top-level outcome group for a Canvas account or course, enabling navigation of learning outcomes hierarchy.

Instructions

Get the root outcome group for an account or course context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
context_typeYesWhether to read outcomes from an account or course context.
context_idYesThe Canvas account ID or course ID for the context.
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, indicating a safe read operation. The description adds no additional behavioral context (e.g., permissions, result variability) beyond these annotations.

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?

A single concise sentence that front-loads the purpose. No extraneous 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?

Given the tool's simplicity (2 params, no output schema), the description adequately states its function. However, it could be more complete by briefly indicating what a 'root outcome group' is or what the return value represents.

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 description coverage is 100%, so the baseline is 3. The description does not add meaning beyond the schema; it repeats context_type and context_id as already documented.

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 uses specific verb 'Get' and resource 'root outcome group' with context type, clearly distinguishing it from sibling tools like get_outcome_group (which gets a specific group) and list_outcome_groups (lists groups).

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

Usage Guidelines2/5

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

No usage guidelines are provided. The description does not mention when to use this tool versus alternatives like get_outcome_group or list_outcome_groups, leaving the agent without selection criteria.

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/bruchris/canvas-lms-mcp'

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