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Search Course Content

search_course_content
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Search for content within a course. Searches pages, assignments, discussions, and announcements by keyword.

Instructions

Search for content within a course. Searches pages, assignments, discussions, and announcements by keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYesThe Canvas course ID
search_termYesThe keyword or phrase to search for
content_typesNoContent types to search. Defaults to all types: pages, discussions, assignments, announcements.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.18.15
    • addedInput schema / properties / course_id / anyOf
      Added value: +[
      +  {
      +    "exclusiveMinimum": 0,
      +    "maximum": 9007199254740991,
      +    "type": "integer"
      +  },
      +  {
      +    "pattern": "^[1-9][0-9]{0,18}$",
      +    "type": "string"
      +  }
      +]
    • removedInput schema / properties / course_id / type
      Removed value: -"number"
  2. Changed1 schema field changedv1.18.11
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. First observedv1.18.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the useful scope detail that results span four content types, but says nothing about result limits, pagination, or ranking/matching behavior.

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?

Two short sentences, front-loaded with the core action, zero filler or restated boilerplate.

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

Completeness3/5

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

With no output schema, the description leaves the return shape unspecified for a tool that merges heterogeneous content types (how pages vs. announcements are represented, item counts, ordering). It is adequate for invocation but thin for interpreting results.

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 schema already documents course_id, search_term, and content_types. The description's reference to keyword search and the four content types merely mirrors the schema rather than adding format or semantic detail beyond it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource (search content within a course) and enumerates the searched entity types, so the agent knows exactly what the tool covers. It does not, however, distinguish itself from sibling listing tools like list_pages/list_discussions/list_announcements that surface overlapping content.

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

Usage Guidelines3/5

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

Usage is only implied: the keyword-search framing suggests it is for finding content when the location is unknown, versus the list_* siblings. There is no explicit when-to-use, when-not-to-use, or named alternative, so the agent must infer the routing.

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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