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send_peer_review_reminders

Send peer review completion reminders to specific students. Customize the message and include a direct link to the assignment to ensure timely feedback.

Instructions

    Send peer review completion reminders to specific students.

    Args:
        course_identifier: Course code or Canvas ID
        assignment_id: Canvas assignment ID
        recipient_ids: List of Canvas user IDs needing reminders
        custom_message: Custom message (uses default template if None)
        include_assignment_link: Include direct link to assignment
        subject_prefix: Prefix for message subject
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_identifierYes
assignment_idYes
recipient_idsYes
custom_messageNo
include_assignment_linkNo
subject_prefixNoPeer Review Reminder

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided and the description omits behavioral details such as whether reminders are sent immediately, if completion status is checked, or how errors are handled. The description only states the action without transparency into side effects or limitations.

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 concise: a single purpose line followed by a clear bullet list of parameters. No redundant information, every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the purpose and parameters are clear, the description lacks context on outcomes (return value), error conditions, and behavior in edge cases. An output schema exists but is not referenced; the description could be more complete for a transactional tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Each parameter is explained with a brief description beyond the schema titles (e.g., 'course_identifier: Course code or Canvas ID'), adding clarity for agents. With 0% schema description coverage, the description fully compensates by detailing each parameter.

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 verb 'send' and resource 'peer review completion reminders' targeting 'specific students', distinguishing it from siblings like 'send_bulk_messages_from_list' and 'send_peer_review_followup_campaign'.

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 on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or comparison to similar tools like 'send_peer_review_followup_campaign'.

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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