get_student_analytics

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

The annotations already indicate readOnlyHint=true and openWorldHint=true, so the description's behavioral value is limited. It adds context about the returned data (page views, participations, submission timeline) but does not disclose additional traits like data freshness, pagination, or auth requirements.

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 a single, well-structured sentence that front-loads the purpose, followed by specifics. Every word adds value, making it efficient and easy to parse.

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?

For a simple read-only tool with two well-documented parameters and no output schema, the description sufficiently covers what the tool does and what it returns. It omits details like time ranges or pagination, but the tool likely returns a standard analytics object, which is common enough.

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?

The input schema has 100% description coverage, and the description does not add any new information about the parameters. It reuses the purpose by noting 'per-student', but no deeper semantics are provided.

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 uses a specific verb 'Get' and resource 'per-student activity analytics for a course', clearly stating the tool's purpose. It explicitly mentions the returned data types (page views, participations, submission timeline), distinguishing it from sibling tools like get_course_analytics which provide course-level analytics.

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 implies usage for a specific student but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives. The context of sibling tools partially helps, but the description itself lacks direct guidelines.

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