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Hwzw

Brown Courses MCP Server

by Hwzw

course_detail

Fetch complete details for any Brown University course: description, prerequisites, instructor, meeting times, seats, Critical Review link, and more.

Instructions

Get full details for a specific course: description, prerequisites, instructor info, meeting times, seats, Critical Review link, and more.

Args: code: Course code, e.g. "MATH 0520", "CSCI 0200", "BIOL 0500". semester: "fall", "spring", "winter", "summer", or "any". Empty = current term. year: 4-digit year, e.g. "2026". Empty = current year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
yearNo
semesterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden. It describes the return content but does not disclose potential failure modes, side effects, or behavior for invalid inputs. The 'Get' verb implies read-only, and parameter defaults are explained, but edge cases are not addressed.

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 starts with a concise summary, then a compact Args block that provides exactly the needed parameter guidance. No superfluous information, well-structured and front-loaded.

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?

Given that an output schema exists, the description covers purpose and parameters well. It might benefit from noting fallback to current term/year or what happens if the course is not found, but overall it is adequate for the tool's simplicity.

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?

The schema has no descriptions, and the description thoroughly explains each parameter with examples, allowed values for semester, and default behavior for empty year/semester. This fully compensates for the 0% schema description 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's purpose: retrieving full details for a specific course, listing the types of information included. This distinguishes it from siblings like 'search' and 'batch_course_details'.

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?

The description implies usage for single-course detail lookups but does not explicitly contrast with batch_course_details or search. It provides clear context for when to use it but lacks explicit exclusions or alternative tool references.

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

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