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Get Dropbox User Submissions

get_dropbox_user_submissions

Retrieve all submissions made by one student or group in a dropbox folder, helping instructors and TAs review individual work before drafting feedback.

Instructions

Retrieve all submissions made by one specific student (or group) in a dropbox folder, for an instructor or TA — useful for reviewing a single student's work before drafting feedback. Use get_dropbox_submissions or get_roster to find the userId first. Requires instructor or TA access to the course.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdYesBrightspace user ID (or group ID for a group folder) whose submissions to retrieve.
courseIdYesCourse ID the dropbox folder belongs to.
folderIdYesDropbox folder ID.
ignoreFeedbackNoWhen true, omit feedback status from the response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.9.7

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. It discloses the permission requirement (instructor or TA access) and the read-only nature implied by 'Retrieve,' but says nothing about the response shape, volume/pagination, or how feedback data behaves relative to the ignoreFeedback flag.

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 compact sentences, with the core action and scope front-loaded before the usage hint and the access caveat. No sentence is filler.

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 read-only retrieval tool with no output schema, the description covers purpose, scoping, prerequisite lookups, and access requirements. It stops short of describing what the response contains, but nothing essential for correct invocation is missing.

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 all four parameters are already documented, including the note that userId may be a group ID. The description restates this in prose ('student (or group)') but adds no syntax or format meaning beyond the schema, so the baseline 3 applies.

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 gives a specific verb ('Retrieve'), a specific resource ('submissions made by one specific student (or group) in a dropbox folder'), and an explicit audience (instructor or TA). It clearly distinguishes itself from the sibling get_dropbox_submissions, which returns the unfiltered set.

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 states the scenario (reviewing one student's work before drafting feedback), names the alternatives for a prerequisite step ('Use get_dropbox_submissions or get_roster to find the userId first'), and gives the access condition. The agent knows both when to reach for this tool and how to obtain the required identifier.

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