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bulk_register_users_to_session

Register up to 25 users to an ILT session in one API call by providing user IDs and session details.

Instructions

Register up to 25 users to an ILT session in a single API call. Provide a list of user IDs plus the course, module, and session IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdsYesList of Litmos user IDs to register (max 25)
courseIdYesThe Litmos course ID
moduleIdYesThe ILT module ID within the course
sessionIdYesThe session ID to register users for
Behavior2/5

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

No annotations are provided, so the description must carry full behavioral disclosure. It only states it's a single API call and the user limit, but does not disclose side effects (e.g., notifications, idempotency, partial failures) or prerequisites (e.g., user enrollment in course). This is insufficient for a mutation tool.

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, concise sentence with no unnecessary words. It efficiently communicates the core functionality and requirements.

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 tool has no output schema, it does not describe return values (e.g., success indicators, error details). For a bulk operation involving up to 25 users, this is a significant gap. The description is too minimal to be fully complete.

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 coverage is 100%, so each parameter is already well-described in the schema. The description merely repeats the parameters and the max limit, adding no new semantic meaning. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool registers up to 25 users to an ILT session in a single API call, specifying the verb (register), resource (users to session), and constraints (max 25). This clearly distinguishes it from siblings like register_user_to_session or bulk_assign_course_to_users.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for batch operations, but lacks explicit guidance on when to use this versus alternatives (e.g., register_user_to_session). No prerequisites or exclusions are mentioned, though the sibling list provides context. The guidance is adequate but not strong.

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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