Skip to main content
Glama
illlilililiililll

LearnUs local MCP server

learnus_get_weekly_tasks

Read-onlyIdempotent

Fetches actionable Yonsei LearnUs coursework for the current or requested week, covering assignments, deadlines, incomplete required learning, and attendance obligations.

Instructions

Gets actionable Yonsei LearnUs coursework for the current or requested week: assignments, deadlines, required incomplete learning and attendance items. Use as the default LearnUs Tool when a request clearly concerns Yonsei coursework, classes, assignments, academic deadlines, required lecture videos, incomplete learning or attendance obligations, even without the words LearnUs/런어스. Do not use it for unrelated personal to-do/calendar questions or to treat informational/completed/optional/unknown items as required tasks. Typical requests ask what coursework remains this week, which assignments are due, or whether required videos are incomplete. Calendar entries alone do not prove an unfinished task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoInclusive range end as YYYY-MM-DD in Asia/Seoul or an ISO 8601 timestamp with timezone.
fromNoInclusive range start as YYYY-MM-DD in Asia/Seoul or an ISO 8601 timestamp with timezone.
courseIdNoExact Moodle course ID returned by a LearnUs course tool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: it filters out informational/completed/optional/unknown items and warns that calendar entries alone do not prove an unfinished task, which shapes how results should be interpreted.

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-loads the core purpose before the guidance, and each sentence carries usable information. It runs long (five sentences) with some repetition across the trigger/exclusion clauses, but no sentence is pure filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, idempotent query tool with 100% schema coverage, no output schema, and no required parameters, the description covers purpose, invocation triggers, exclusions, and result-interpretation caveats. Nothing an agent needs to select or call it correctly 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%, with 'from', 'to', and 'courseId' fully documented including Asia/Seoul date semantics and Moodle course ID lookup. The description adds nothing about parameter syntax or defaults, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('gets actionable Yonsei LearnUs coursework') with clear scope (current or requested week) and enumerates the item types returned (assignments, deadlines, incomplete learning, attendance). No sibling is named explicitly, so differentiation from overlapping tools like learnus_upcoming or learnus_get_learning_overview is inferred rather than stated.

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 designates itself as the default LearnUs tool, gives a positive trigger condition (coursework/classes/assignments/deadlines even without the keyword LearnUs), and states a negative exclusion (unrelated personal to-do/calendar questions, or treating informational/completed/optional/unknown items as required). This is near-ideal when-to-use/when-not guidance.

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