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gql_product

Retrieve product details from Thinkific using GraphQL queries by specifying the product ID.

Instructions

Returns a Product by ID (GraphQL).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe product ID
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 only states it 'returns' data without specifying whether this is a read-only operation, what permissions are required, or any rate limits. It doesn't describe the return format, error conditions, or any behavioral traits beyond the basic action.

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 with just one sentence that directly states the tool's purpose. There's no wasted language or unnecessary elaboration, making it efficiently front-loaded and easy to parse.

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 tool with no annotations and no output schema, the description is insufficient. It doesn't explain what a 'Product' contains, what the GraphQL implementation entails, or provide any context about the data returned. Given the complexity implied by GraphQL and the lack of structured documentation, more completeness is needed.

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 has 100% description coverage with the 'id' parameter clearly documented. The description adds no additional parameter information beyond what's in the schema, so it meets the baseline for high schema coverage but doesn't enhance understanding of parameter usage or constraints.

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 ('Returns') and resource ('a Product by ID'), making the purpose understandable. It distinguishes from other product-related tools like 'get_product' by specifying it uses GraphQL, but doesn't fully differentiate from all sibling tools like 'gql_category' or 'gql_user' which follow the same pattern.

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_product' or other GraphQL siblings. It mentions 'GraphQL' but doesn't explain why one would choose this over REST equivalents or when to use other GraphQL tools.

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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