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set_attendance

Record attendance status for participants in Eduframe meetings. Specify meeting and enrollment IDs with attendance state (absent, attended, late, etc.) and optional comments.

Instructions

Set an attendance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_idYesUnique identifier of the meeting.
enrollment_idYesUnique identifier of the enrollment.
stateNoIndicator of the attendance state.
commentNoComment about this attendance.
Behavior2/5

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

Annotations already indicate this is a non-read-only (readOnlyHint: false), non-idempotent write operation. The description adds no behavioral context beyond these annotations—it doesn't clarify whether this creates a new record or updates an existing one, nor does it explain the side effects of multiple invocations despite the idempotentHint: false flag.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief at three words, avoiding verbosity or redundancy. However, this conciseness results from under-specification rather than efficient information density, leaving the agent with minimal actionable context.

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 state-mutating tool with four parameters and no output schema, the description is insufficient. It fails to explain the business logic (what attendance tracking means), the relationship between required parameters (meeting_id and enrollment_id), or the implications of the different enum states.

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?

With 100% schema description coverage, the input parameters are fully documented in the structured schema. The description adds no parameter-specific guidance, but the baseline score of 3 is appropriate since the schema carries the semantic burden without needing supplementation.

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

Purpose2/5

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

The description 'Set an attendance' is essentially a tautology that restates the tool name with minimal elaboration. While it identifies the domain (attendance), it fails to explain what 'setting' entails (e.g., marking presence/absence) or distinguish this mutation operation from the sibling get_attendances tool.

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

Usage Guidelines1/5

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

The description provides no guidance on when to invoke this tool versus alternatives, nor does it mention prerequisites like obtaining valid meeting_id or enrollment_id values. There is no discussion of workflow context or exclusion criteria.

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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