gql_lesson
Retrieve a specific lesson by its ID using GraphQL queries for Thinkific course management.
Instructions
Returns a Lesson by ID (GraphQL).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The lesson ID |
Retrieve a specific lesson by its ID using GraphQL queries for Thinkific course management.
Returns a Lesson by ID (GraphQL).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The lesson ID |
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 it's a read operation ('Returns'), but doesn't mention permissions, error handling, rate limits, or what the return format looks like. For a GraphQL-based tool with no annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a GraphQL-based retrieval tool with no annotations and no output schema, the description is incomplete. It lacks details on return values, error cases, or how it differs from similar tools, making it insufficient for an agent to fully understand the tool's behavior and context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with the 'id' parameter fully documented in the schema. The description adds no additional parameter details beyond implying it's for a Lesson ID, which is already covered. This meets the baseline of 3 since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Returns') and resource ('a Lesson by ID'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from similar sibling tools like 'gql_view_lesson' or 'get_content', which might also retrieve lesson-related data, leaving some ambiguity about uniqueness.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. With many sibling tools like 'gql_view_lesson' and 'get_content' that might overlap in functionality, there's no indication of prerequisites, context, or exclusions, leaving usage unclear.
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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