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Get Rubrics for Dropbox Folder

get_rubrics_for_object

Retrieve the complete rubric table for a Brightspace dropbox folder—criteria, levels, and point values—using courseId and folderId. Find folderId first with get_dropbox_folders.

Instructions

Retrieve the full rubric table (criteria, levels, and point values) attached to a dropbox folder, for an instructor or TA. Use get_dropbox_folders first to find folderId. Like get_dropbox_folders, this reads the folder listing's embedded rubric data, so it is not gated to instructor/TA accounts the way get_dropbox_submissions and get_dropbox_feedback are.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
courseIdYesCourse ID the dropbox folder belongs to.
folderIdYesDropbox folder ID whose rubric(s) to retrieve full criteria/level detail for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.9.7

TDQS

A4.1/5.0
Behavior4/5

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

No annotations exist, so the description carries the burden and does meaningfully address it: it discloses the data source (the folder listing's embedded rubric data) and the authorization profile relative to sibling tools. The phrase "for an instructor or TA" followed by "not gated to instructor/TA accounts" is slightly confusing, and it says nothing about the response shape or pagination.

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?

Three sentences, front-loaded with the retrieval purpose, then the prerequisite, then access-control context. Each sentence contributes, though the closing gating sentence is somewhat dense and introduces the minor audience ambiguity.

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?

With no output schema, the description usefully enumerates the returned content (criteria, levels, point values) and covers prerequisites and access behavior. Complete enough to call correctly, with only minor gaps around return format and pagination.

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 both courseId and folderId are already documented. The description adds only a discovery hint for folderId, which is more usage guidance than parameter semantics. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ("Retrieve") and resource ("full rubric table (criteria, levels, and point values) attached to a dropbox folder"), which distinguishes it from siblings like get_assignment_rubric and get_dropbox_folders. An agent can identify its scope without opening the 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?

Gives a clear prerequisite ("Use get_dropbox_folders first to find folderId") and positions the tool within the dropbox family by contrasting its gating with get_dropbox_submissions and get_dropbox_feedback. It lacks an explicit when-not rule versus get_assignment_rubric, which also returns rubric data.

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