Skip to main content
Glama

get_course_review

Retrieve a specific course review by its ID to analyze feedback and improve course content.

Instructions

Get a specific course review by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
review_idYesThe course review ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves a review but doesn't cover aspects like authentication requirements, error handling (e.g., what happens if the ID doesn't exist), rate limits, or the format of the returned data. This leaves significant gaps for a read operation.

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 extremely concise—a single sentence that directly states the tool's function without unnecessary words. It's front-loaded and wastes no space, making it efficient for quick understanding.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is insufficient for a complete understanding. It doesn't explain what data is returned (e.g., review content, ratings, timestamps) or behavioral aspects like permissions or errors. For a tool with no structured output documentation, this leaves the agent poorly informed.

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?

The schema description coverage is 100%, with the single parameter 'review_id' fully documented in the schema as an integer greater than 0. The description adds minimal value beyond this, merely restating that it retrieves by ID without providing additional context like ID format or examples.

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 action ('Get') and resource ('a specific course review by ID'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'list_course_reviews' or 'create_course_review', but the specificity of retrieving a single item by ID is reasonably implied.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'list_course_reviews' for multiple reviews or 'create_course_review' for adding reviews, nor does it specify prerequisites or contexts for usage.

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/ackbarguppi-ai/thinkific-mcp'

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