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Canvas LMS MCP – Remote Edition

Mark Topic Read

mark_topic_read

Mark a discussion topic as read to clear it from your unread count. Use mark_all_entries_read to also clear every reply in the topic.

Instructions

Mark a discussion topic as read for you. Only affects your unread counts. Use mark_all_entries_read to also clear every reply.

Input Schema

NameRequiredDescriptionDefault
topic_idYesDiscussion topic ID (numeric string). Get it from list_topics.
course_idYesCanvas course ID, a numeric string such as "12345". Get it from list_courses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.1.3
    • changedInput schema / properties / course_id / description
      Previous value: -"Canvas course ID"New value: +"Canvas course ID, a numeric string such as \"12345\". Get it from list_courses."
    • changedInput schema / properties / topic_id / description
      Previous value: -"Canvas ID (numeric string)"New value: +"Discussion topic ID (numeric string). Get it from list_topics."
  2. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare this as a non-destructive mutation that is not read-only and not idempotent. The description adds useful behavioral scope by saying it only affects the caller's unread counts, which clarifies the blast radius beyond 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?

Three short sentences, front-loaded with the core action and immediately followed by scope and the alternative. There is no wasted wording.

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 simple two-parameter mutation with full schema coverage and annotations, the description gives the essential action, scope, and alternative. It does not describe any return signal, but no output schema exists and the operation is straightforward enough that this is a minor gap.

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 coverage is 100%, and both required parameters already have descriptions pointing to list_topics and list_courses. The description does not add parameter-level details, so the schema carries the parameter semantics.

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?

States a specific verb and resource: marking a discussion topic as read for the current user. It also distinguishes the action from the broader sibling mark_all_entries_read, so an agent can select it without opening either schema.

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?

Explicitly gives the alternative mark_all_entries_read and the condition that selects it: to also clear every reply. It does not explicitly rule out entry-level mark_entry_read, but the topic-level scope and alternative are clear.

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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