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Canvas LMS MCP – Remote Edition

Who Am I

whoami
Read-onlyIdempotent

Confirm your Canvas API token works by retrieving your user ID, name, and login. Read-only and low-cost, it verifies authentication before you run other student tools.

Instructions

Get your Canvas user ID, name and login. Read-only and very cheap. Use it to confirm the token works; use get_my_profile for bio and email, or test_connection for a full diagnostic.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds useful behavioral context that this is read-only and very cheap, and that it serves as a token sanity check. It does not detail error behavior or return shape, but that is a minor gap given the 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?

The description is two compact sentences with no filler. It front-loads what is returned, then adds cost/safety context and alternative routing in the second sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only identity check with rich annotations, the description is complete: it states the returned fields, notes cost and safety, and routes more detailed identity/diagnostic needs to siblings. No output schema is needed for the agent to call it correctly.

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?

The tool has zero parameters, so there is no parameter semantics to explain. The empty schema is consistent with the description, and baseline credit applies for a no-parameter tool.

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 states a specific verb and resource: get the Canvas user ID, name, and login. It also distinguishes this from get_my_profile and test_connection by naming their different purposes. An agent can select it confidently without opening the schema.

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?

It explicitly says to use this tool to confirm the token works, and names get_my_profile for bio/email and test_connection for a full diagnostic. This gives clear when-to-use and when-to-use-an-alternative guidance.

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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