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Career Bhavan

Course at a college

get_college_course_details
Read-onlyIdempotent

Details of one course at one college (e.g. Online MBA at a specific university): fees and fee breakdown, duration, mode, eligibility, admission notes, syllabus and FAQs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_slugYesCourse slug, e.g. from search results.
college_slugYesCollege slug, e.g. from search results.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds the list of returned data domains (fees, duration, mode, eligibility, syllabus, FAQs), which is useful context, but says nothing about auth, rate limits, or pagination.

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?

A single dense sentence that front-loads the core purpose and then enumerates the payload. Nothing is wasted, though the trailing field list is long enough that it slightly dilutes the lead statement.

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

Completeness3/5

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

With no output schema, the description's enumeration of returned content (fees, breakdown, duration, mode, eligibility, admission notes, syllabus, FAQs) is genuinely necessary and present. However, for an agent selecting among six siblings, the failure to differentiate from get_course_details leaves a real gap in completeness.

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%, so both slug parameters are already documented in the schema with their pattern and provenance ('from search results'). The description's example illustrates the college/course pairing but adds no syntax or format detail beyond the schema, 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?

The description states a specific verb and resource: details of one course at one college, with a concrete example (Online MBA at a specific university). It is clear what is returned, but it does not distinguish itself from the sibling get_course_details, which an agent could easily confuse it with.

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?

There is no guidance on when to use this tool versus get_course_details, get_college_details, or search_courses. The presence of both a college-scoped and a generic course-detail sibling makes this omission costly, since nothing tells the agent which to pick.

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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