Skip to main content
Glama
shivendoo123

scottylabs-mcp

by shivendoo123

get_course

Retrieve complete details and schedules for a specific CMU course by providing its exact course ID.

Instructions

Fetch full details for a single CMU course, including current schedules.

Use this when you already have the exact course ID. Accepts "15-122" or "15122". Returns description, units, prereqs/coreqs, cross-listings, and upcoming schedule with lectures/sections.

Args: course_id: CMU course ID, e.g. "15-122" or "21-241".

Returns: Course object with name, department, desc, units, prereqs, coreqs, crosslisted, schedules, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
courseIDYes
nameYes
departmentYes
descNo
unitsNo
manualUnitsNo
prereqsNo
prereqStringNo
coreqsNo
crosslistedNo
schedulesNo
fcesNo
Behavior4/5

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

No annotations provided, so description carries the burden. It discloses return fields (description, units, prereqs, etc.) and mentions 'current schedules'. Does not discuss side effects or authorization, but the tool is likely read-only and safe.

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?

Description is concise (three sentences plus Args/Returns lists). Purpose is front-loaded. Every sentence adds value with no redundancy.

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?

Tool is simple (one parameter, output schema exists). Description lists return fields, but does not address error handling (e.g., invalid course ID). Still, it provides sufficient information for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Single parameter course_id with schema schema provides only type and title. Description adds concrete examples ('15-122' or '15122'), explains it's a CMU course ID, and clarifies accepted formats, compensating for 0% schema coverage.

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?

The description clearly states the tool fetches full details for a single CMU course, including schedules. It distinguishes from siblings like search_courses by specifying it requires the exact course ID.

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 'Use this when you already have the exact course ID' and provides accepted input formats. Does not reference alternatives from sibling tools, but the guidance is clear and actionable.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shivendoo123/scottylabs_MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server