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gql_view_lesson

Record a lesson view for a user in Thinkific using GraphQL to track student progress and engagement.

Instructions

Record a lesson view for a user (GraphQL).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lessonIdYesThe lesson ID to record a view for
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Record') but doesn't clarify if this is a write operation, what permissions are needed, whether it's idempotent, or what side effects occur (e.g., updating user progress). This is a significant gap for a tool that likely modifies data.

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?

The description is a single, efficient sentence that gets straight to the point without unnecessary words. It's appropriately sized for a simple tool, though it could be slightly more structured (e.g., by including usage context) to improve clarity without sacrificing brevity.

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 incomplete for a tool that likely performs a write operation. It doesn't explain what 'recording a view' entails (e.g., increments a counter, logs timestamp), what the expected outcome is, or any error conditions, leaving the agent with insufficient context for reliable use.

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 'lessonId' well-documented in the schema. The description adds no additional parameter semantics beyond what's already in the schema, so it meets the baseline of 3 without compensating or detracting.

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 ('Record a lesson view') and the resource ('for a user'), making the purpose specific and understandable. However, it doesn't distinguish this tool from potential siblings like 'gql_mark_lesson_incomplete' or other lesson-related tools, which would require explicit differentiation for a score of 5.

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. There's no mention of prerequisites (e.g., user authentication), context (e.g., tracking progress), or exclusions (e.g., not for marking completion). This leaves the agent with insufficient context to make informed decisions.

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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