get_student_analytics

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

The annotation readOnlyHint is present, and the description describes a query that returns data without side effects. It does not add extra context like permissions or rate limits, but it is consistent with the annotation, so transparency is adequate.

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

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

The description is two sentences, direct, and includes essential details without redundancy. Every phrase adds value, making it highly concise.

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

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

Given the lack of an output schema, the description provides enough context: it states the output is a ranked table with engagement score and mentions the use case. It does not detail every possible output field, but it covers the core functionality.

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

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

All five parameters have descriptions in the input schema, and the tool description clarifies that the include flags correspond to the engagement metrics. This provides clear meaning for each parameter, exceeding the baseline.

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

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

The description clearly states the tool retrieves per-student engagement analytics, lists specific metrics (page views, participations, assignment counts), and mentions the endpoint and the output (ranked table with engagement score). This makes the purpose unambiguous and distinguishes it from other analytics tools.

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

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

The description mentions it is 'useful for identifying disengaged students' but does not explicitly compare to other tools or state when not to use it. It lacks explicit alternative recommendations, so the usage guidance is only implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.