get_assignment_analytics

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

Annotations already declare readOnlyHint and openWorldHint. The description adds behavioral context by detailing the return fields (statistical summary, submission count, tardiness breakdown) and the effect of omitting assignment_id. No side effects or auth requirements are mentioned, but the annotation coverage mitigates the need.

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?

Three sentences: clearly states purpose, lists output components, and explains parameter usage. No fluff, front-loaded, and every sentence adds value.

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 no output schema, the description adequately describes the return value structure. However, it could specify the output format (e.g., list of assignments) or mention performance considerations for large courses.

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?

Schema description coverage is 100%, so the description does not add new parameter meaning beyond what the schema already states. The reuse of similar phrasing for assignment_id is fine, but no extra 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 'score distribution analytics for assignments', clearly stating what it does. It distinguishes from sibling tools like get_course_analytics by focusing on assignment-level analytics and specifying the output contents.

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 explains when to use the tool and how to scope results with assignment_id, but does not explicitly state when not to use it or provide alternatives to similar tools like get_course_analytics.

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