Portal do discente

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

With no annotations, the description carries the full burden. It does disclose the return payload structure in useful detail, which is real value given there is no output schema, and the 'info/feed' framing implies a read-only operation. It does not mention authentication requirements, response size or truncation, caching/freshness, or whether the aggregate is slower than the targeted siblings.

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?

Two compact sentences, front-loaded with the payload contents, and the linking detail about `frontEndIdTurma` is placed last where it belongs. The comma-list is dense but every item is a distinct data group an agent needs to know about; no filler.

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 zero-parameter aggregate with no output schema, the description covers the key unknown, namely what comes back, across all six data groups, plus the cross-tool identifier linkage. Missing only operational detail such as payload size, freshness, or auth expectations, which are secondary for a read-only entry point.

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 tool takes zero parameters, so the baseline is 4 and there is nothing the description could add on this dimension. The `frontEndIdTurma` note is about output, not input, but it usefully connects this tool's result to other tools' parameters.

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 names the resource and enumerates exactly what the aggregate returns: student info, enrolled classes with decoded schedules, per-class updates, upcoming activities, institutional news, and course-forum topics. It is clearly a broad entry-point fetch, distinguishing it from the narrower siblings like get_turma and get_news_detail, though it never states that contrast explicitly.

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?

Usage is only implied. The closing note that each class carries a `frontEndIdTurma` used by the other tools hints that this is the initial call whose output feeds later calls, but there is no explicit 'call this first' or 'use get_all_classes instead when...' statement, and no exclusions.

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