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Get Dropbox Feedback

get_dropbox_feedback

Retrieve existing feedback, scores, and rubric details for a user or group in a dropbox folder. Use before drafting new feedback to see what's already recorded.

Instructions

Retrieve the existing feedback already saved for a specific user or group in a dropbox folder, for an instructor or TA — score, graded state, feedback text, and rubric assessment detail. Use this before drafting new feedback to see what has already been recorded. Requires instructor or TA access to the course.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
courseIdYesCourse ID the dropbox folder belongs to.
entityIdYesUser ID or group ID whose existing feedback to retrieve.
folderIdYesDropbox folder ID.
entityTypeYesWhether entityId identifies an individual user or a group.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.9.7

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses the access requirement (instructor/TA) and the shape of the returned data, and 'Retrieve' implies a read-only operation, but it doesn't state what happens when no feedback exists or any error/permission-failure behavior.

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?

Two efficient sentences with the core purpose front-loaded before the usage cue and access note. The field enumeration adds length but serves meaning; nothing is wasted.

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?

There is no output schema, so the description appropriately lists the returned fields itself, and it covers the access prerequisite. An agent has enough to call it correctly, though no note on empty results or pagination leaves a minor gap.

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 (courseId, folderId, entityType, entityId) are already documented including the user/group enum. The description restates the user-or-group concept but adds no format or constraint detail 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?

States a specific verb (retrieve) and resource (existing saved feedback for a user/group in a dropbox folder) and enumerates the returned fields (score, graded state, feedback text, rubric detail). An agent can distinguish this from the many get_dropbox_* siblings that deal with submissions or folders rather than feedback records.

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?

Explicitly says to use it 'before drafting new feedback to see what has already been recorded,' giving a clear usage context. It also states the access prerequisite (instructor or TA). However, it names no alternative tool or when-not-to-use condition.

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