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cabrt

Canvas MCP Server

by cabrt

get_rubrics

Retrieve all rubrics for a Canvas course. Returns rubric details including ID, title, and points possible.

Instructions

Get all rubrics for a course.

Args: course_id: Canvas course ID

Returns: {"rubrics": [{id, title, points_possible, ...}, ...], "count": N}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes
Behavior3/5

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

No annotations are provided, and the description adds return structure details but does not disclose side effects, authorization needs, or error handling, which are important for a mutation-free read tool.

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 with two structured sections (args and returns), no wasted words, and front-loads the core purpose immediately.

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 absence of an output schema, the description includes a clear return format and covers the single parameter, making it largely complete for a straightforward list operation, though pagination or filtering nuances are missing.

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 description coverage, the description compensates by specifying 'course_id: Canvas course ID', adding meaningful context beyond the raw integer type.

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 'Get all rubrics for a course' is a specific verb-resource combination that clearly distinguishes from the sibling tool 'get_rubric' (singular), making the scope unambiguous.

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?

The description implicitly indicates when to use this tool (to retrieve all rubrics) versus the singular alternative, but lacks explicit when-not-to-use or prerequisite information.

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

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