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

The annotations already cover read-only, idempotent, non-destructive, closed-world behavior. The description usefully adds that results are answer facts only, exclude question text and answers, include a link to the full review, and follow CertArc result-page decisions for retake availability. It does not discuss auth or rate limits, but those are not central for this read operation.

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 front-loaded with the use case, but it is a long, dense run-on sentence that packs many lists and clauses together. The content is relevant, yet the structure could be clearer and more concise for easier scanning.

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?

With no output schema, the description carries the burden of explaining return content, and it does so thoroughly: incorrect answers, confidence, miss reasons, domains, knowledge areas, time per answer, aggregate breakdowns, retake movement, retake availability, and remaining review. This is sufficient for an agent to understand what the tool provides.

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 coverage is 67%, with module and program well documented. The description adds useful semantics for the undocumented take parameter, including that it is optional and defaults to latest, and reinforces that module should be taken from the learner's results.

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 states a specific retrieval purpose: showing what happened in one sprint or exam, including answer-level facts, breakdowns, retake movement, and review status. It distinguishes this from a simple results list by emphasizing detailed review content and limitations such as 'Answer facts only, never question text or answers.'

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?

It gives an explicit usage condition: 'Use this when the connected learner asks what happened in one sprint or exam.' It also explains the module and optional take inputs, including the default latest take. It does not name sibling alternatives, but the context for when to use it is clear.

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