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list_course_reviews

Retrieve course reviews from Thinkific, with optional filtering by specific course ID and pagination controls for managing large datasets.

Instructions

List course reviews, optionally filtered by course.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_idNoFilter by course ID
pageNoPage number. Default: 1
limitNoItems per page. Default: 25
Behavior2/5

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

With no annotations provided, the description carries full burden but reveals almost nothing about behavioral traits. It doesn't mention pagination behavior (implied by parameters but not described), rate limits, authentication requirements, or whether this is a read-only operation. The description is functionally minimal.

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 a single, efficient sentence with zero wasted words. It's appropriately sized for a simple list operation and front-loads the core purpose immediately.

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?

For a list tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the output looks like (e.g., array of review objects), pagination behavior, or how filtering works. The agent would need to guess about important operational aspects.

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 the schema fully documents all three parameters. The description adds no additional parameter semantics beyond what's in the schema (it mentions optional filtering by course, which the schema already covers with course_id). Baseline 3 is appropriate when the schema does all the work.

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 verb ('List') and resource ('course reviews'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_course_review' (singular vs. plural), which could cause confusion about when to use each tool.

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 like 'get_course_review' (singular) or other list tools. It mentions optional filtering by course but doesn't explain when filtering is appropriate or what happens without it.

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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