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Download Dropbox Submission File

download_dropbox_submission_file

Download a student's or group's Brightspace dropbox submission file to a local folder for instructor or TA grading and review.

Instructions

Download a specific file from a student's (or group's) dropbox submission to a local directory, for an instructor or TA. Use get_dropbox_submissions or get_dropbox_user_submissions first to find submissionId and fileId. Requires instructor or TA access to the course. IMPORTANT: Ask the user where they want to save the file before calling this tool. After identifying the file, suggest a clean readable filename and ask if they'd like to rename it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileIdYesFile ID within that submission.
courseIdYesCourse ID the dropbox folder belongs to.
folderIdYesDropbox folder ID.
downloadPathYesAbsolute path to the local directory where the file should be saved.
submissionIdYesSubmission ID, from get_dropbox_submissions or get_dropbox_user_submissions.
customFilenameNoCustom filename for the downloaded file (include extension). If omitted, uses the original submission filename.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.9.7

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well: it discloses the auth requirement, the workflow, and the rename behavior. It does not state whether an existing file at downloadPath is overwritten or what a successful response contains, which is a modest remaining gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose, then prerequisites, then the interactive instructions. Every sentence earns its place, though the capitalized rename directive is slightly verbose for what it conveys.

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?

No output schema exists, but for a local-download tool the result is largely self-evident. The definition covers prerequisites, access control, and workflow; the only omission is explicit return/overwrite behavior.

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?

Schema description coverage is 100%, so baseline is 3. The description adds meaning by linking submissionId and fileId to their source tools and tying downloadPath/customFilename to the required user interaction (asking where to save, suggesting a filename), which goes beyond the schema text.

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 (download) and a precise resource (a file from a student's or group's dropbox submission) with an explicit audience (instructor or TA). This distinguishes it from the generic download_file and from the read-only get_dropbox_* siblings without opening any 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?

Explicitly names the prerequisite tools (get_dropbox_submissions / get_dropbox_user_submissions) to obtain submissionId and fileId, states the access requirement (instructor or TA), and gives sequencing instructions (ask for save location first, then suggest a rename). Nothing is left to inference.

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