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canvas_list_recent_submissions

Read-only

Retrieve recently graded submissions for a Canvas course, optionally filtered by student and time window. Defaults to the last 14 days for the calling user.

Instructions

List recently graded submissions in a course. Defaults to a 14-day window for the calling user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact removes the avatar URLs Canvas attaches to user objects (avatar_url, avatar_image_url); "full" returns Canvas's payload untouched. Link fields (url, html_url, preview_url) survive both rungs. No field projection: this server passes Canvas's payload through verbatim and has no verified record of which of its fields a caller needs.
sinceNoISO 8601 timestamp; defaults to 14 days ago.
courseIdYes
studentIdNo'self' or a numeric Canvas user ID. Defaults to 'self'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv1.5.4
    • addedInput schema / properties / view
      Added value: +{
      +  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact removes the avatar URLs Canvas attaches to user objects (avatar_url, avatar_image_url); \"full\" returns Canvas's payload untouched. Link fields (url, html_url, preview_url) survive both rungs. No field projection: this server passes Canvas's payload through verbatim and has no verified record of which of its fields a caller needs.",
      +  "enum": [
      +    "compact",
      +    "full"
      +  ],
      +  "type": "string"
      +}
  3. Addedv1.2.5

TDQS

A4.2/5.0
Behavior4/5

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

The readOnlyHint annotation already covers safety, and the description adds useful behavioral context: the default 14-day window and the scope to the calling user. It does not claim destructive behavior and does not contradict the annotation. Ordering and pagination are not mentioned, but these are not critical for correct invocation.

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 deliver the purpose and the key default behavior with no filler. The main action is front-loaded, making the tool easy to scan and understand quickly.

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?

Combined with the detailed schema, the description gives an agent everything needed to invoke the tool correctly: required courseId, optional since/studentId/view, and a read-only guarantee. There is no output schema, but the view parameter already describes response shape. Slight ambiguity around exactly what 'graded' means keeps this from being fully complete.

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?

Three of four parameters have detailed schema descriptions: view covers compact/full response shapes, since covers the ISO format and default, and studentId covers 'self' and numeric IDs. courseId is undocumented but self-evident from its name. The description mainly restates the default window already present in the schema, so it adds little parameter-level meaning.

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 a specific verb ('List') and resource ('recently graded submissions in a course'), and the qualifier 'recently graded' distinguishes it from siblings like canvas_list_missing_submissions. The 14-day default window also makes the tool's scope explicit.

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 clearly signals when to use the tool: for recently graded submissions in a course. It does not explicitly name alternatives or state when-not-to-use, but the context is clear enough to route an agent away from missing-submission or single-submission tools.

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