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cwon-z

icampus-mcp

by cwon-z

list_courses

Read-only

Retrieve this term's course list with codes, names, instructors, and visible grades.

Instructions

This term's courses: id, code (e.g. CSE1001), name, instructors and the current grade if visible.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds useful scoping ('this term's courses') and the 'if visible' caveat on grades, but does not disclose ordering, pagination, or what determines grade visibility.

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?

The description is a single concise sentence with the core resource ('This term's courses') first, followed by concrete field examples. No filler or repetition.

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 parameterless, read-only list tool with no output schema, the description is sufficiently complete: it identifies the resource, the scope, and the return fields including the grade visibility condition. There is no hidden complexity requiring more detail.

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?

The tool has zero parameters and the schema coverage is complete, so parameter semantics are inherently simple. The description adds value by explaining what data will be returned, which is the meaningful semantic content for an empty schema.

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?

The description clearly states the tool returns this term's courses, with specific fields like id, code, name, instructors, and grade. It distinguishes the resource (courses) from sibling tools like list_announcements and list_lectures, though it does not explicitly contrast itself with get_grades.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus alternatives such as get_grades or list_tasks. The context implies it is for listing courses, but there are no explicit conditions, exclusions, or sibling routing.

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