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shivendoo123

scottylabs-mcp

by shivendoo123

get_instructor_schedules

Fetch all schedules taught by a given instructor across all courses and semesters. Use exact instructor name; search instructors first for canonical spelling.

Instructions

Fetch all schedules taught by the given instructor.

Use this for "what is X teaching?" or to find classes by professor. Pass the instructor name exactly as it appears in the course data — use search_instructors first to discover the canonical spelling.

Args: instructor: Instructor name, exact-match. Example: "Iliano Cervesato".

Returns: List of Schedule objects across all courses and semesters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instructorYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but description discloses behavior: returns list of Schedule objects across all courses and semesters, and notes exact-match requirement. Could mention potential empty results or error behavior but is generally transparent.

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 with front-loaded purpose statement, followed by usage guidance and structured Args/Returns sections. Every sentence adds value without redundancy.

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?

Given the tool's simplicity (one parameter) and presence of output schema, the description adequately covers usage, parameter semantics, and overall behavior. No gaps for effective agent 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?

Input schema has 0% description coverage (only title), but description adds crucial details: exact-match requirement, example value 'Iliano Cervesato', and instruction to use canonical spelling from search_instructors. Significantly enriches parameter semantics.

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 'Fetch all schedules taught by the given instructor,' specifying a specific verb and resource. It distinguishes this tool from siblings like 'get_course_schedules' by focusing on instructor-based queries.

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?

Provides explicit usage context: 'Use this for "what is X teaching?"' and recommends using 'search_instructors' first to find canonical spelling. This offers clear when-to-use and alternatives guidance.

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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