elearning_get_dashboard

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

No annotations are supplied, so the description must carry the behavioral burden. "Mengambil" implies a non-mutating read, and the parenthetical usefully discloses what the response contains (jumlah tugas aktif belum dikerjakan, evaluasi, materi, pengumuman) in the absence of an output schema. However, it does not state whether results are scoped to the authenticated user, whether login is required first (despite elearning_login being a sibling), or whether the numbers are cached/refreshed.

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?

A single sentence with the resource stated first and the indicator list in a compact parenthetical. Every clause earns its place and nothing is padded or restated from the title.

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, no-annotation, no-output-schema tool, the description covers the essential question of what comes back by naming the four indicator groups. The remaining gap is the return shape (are these counts, objects, or labels?) and any auth/session precondition, which keeps it just short of complete.

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 and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline of 4 applies; the description correctly signals that no arguments are needed by describing a pure aggregate retrieval.

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 pairs a specific verb ("Mengambil" - retrieve) with a precise resource ("ringkasan indikator dashboard E-Learning ITG") and enumerates the four indicator categories it aggregates. That enumeration implicitly distinguishes it from the detail-oriented siblings such as elearning_list_tugas and elearning_get_materi, since this returns counts/summaries rather than records, though no sibling is named 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: an agent can infer this is the overview/landing call before drilling into tugas, materi, or pengumuman. There is no explicit when-to-use or when-not-to-use statement, no mention that a session/login is a prerequisite, and no named alternative for agents that want per-item data.

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