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gql_mark_lesson_incomplete

Mark a lesson as incomplete for a user in Thinkific courses to reset progress tracking or indicate content needs review.

Instructions

Mark a lesson as incomplete for a user (GraphQL).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lessonIdYesThe lesson ID to mark incomplete
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the mutation action ('Mark as incomplete') but lacks critical behavioral details: whether this requires specific permissions, if it's reversible, what happens to progress data, or error conditions. For a mutation tool with zero annotation coverage, this is a significant gap.

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 waste. It's front-loaded with the core action and includes the GraphQL context concisely. Every word earns its place.

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 mutation tool with no annotations and no output schema, the description is incomplete. It lacks behavioral context (permissions, side effects), usage guidance, and output expectations. While concise, it doesn't compensate for the missing structured information needed for safe invocation.

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%, with the single parameter 'lessonId' documented in the schema. The description doesn't add any parameter-specific details beyond what the schema provides (e.g., format examples, ID sources). Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Mark a lesson as incomplete') and target resource ('for a user'), with the GraphQL context noted. It distinguishes from siblings like 'gql_view_lesson' or 'gql_update_assignment_submission' by focusing on marking incomplete status, but doesn't explicitly contrast with potential alternatives like 'mark_lesson_complete' if they existed.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., user authentication, lesson existence), exclusions, or related tools like 'gql_view_lesson' for checking status first. Usage is implied only by the action itself.

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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