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send_peer_review_followup_campaign

Analyzes completed peer reviews in a Canvas course assignment and sends targeted follow-up reminders to students who haven't submitted feedback.

Instructions

    Complete workflow: analyze peer reviews and send targeted reminders.

    Args:
        course_identifier: Course code or Canvas ID
        assignment_id: Canvas assignment ID
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
course_identifierYes
assignment_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description only mentions 'analyze' and 'send,' but does not disclose what analysis is performed, whether data is modified, or any side effects. For an action-oriented tool, this is insufficient.

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 very short and lacks structure (no sections, examples, or context). While concise, it sacrifices necessary detail, making it under-specified for an agent to understand the tool's full purpose.

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?

Despite having an output schema (not shown), the description does not explain the workflow's output or behavior. With multiple sibling tools handling peer review reminders, the description fails to clarify what makes this 'followup campaign' distinct or complete.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds minimal information: it lists parameter names with brief type hints ('Course code or Canvas ID' and 'Canvas assignment ID'), which are mostly redundant with the schema's anyOf definition. No explanation of format, constraints, or usage is provided.

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 states 'analyze peer reviews and send targeted reminders,' clearly indicating the tool's action and resource. However, it does not differentiate from similar sibling tools like send_peer_review_reminders, which also sends reminders related to peer reviews.

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?

There is no guidance on when to use this tool versus alternatives. The description merely says 'Complete workflow' without specifying context, prerequisites, or conditions for use.

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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