get_data_sektoral

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the core behavior (returns a list of available datasets, filterable), which is consistent with a read-only GET operation. However, it does not mention pagination behavior, response format, or potential prerequisites. Given the simple nature of the tool, this is acceptable but not thorough.

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, concise sentence that front-loads the main purpose and filter options. Every word contributes to understanding the tool's function, with no redundancy or ambiguity.

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?

The description is adequate for a simple listing tool, but it omits explicit pagination semantics, response structure, and usage differentiation from search_data. Given the lack of an output schema and annotations, a bit more detail would make the description more complete, but the current state is minimally viable.

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 baseline is 3. The description summarizes the filters as 'pencarian, kategori, atau organisasi' which maps to q, kategori_id, and organisasi_id, but adds no additional meaning beyond what the schema already provides for each parameter. It does not mention page or per_page, though those are self-explanatory.

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 clearly states the tool's function: 'Mendapatkan daftar data sektoral/dataset yang tersedia' (Gets a list of available sectoral data/datasets). It also specifies that filtering is possible by search, category, or organization. This distinguishes it from siblings like get_detail_data (which likely fetches a single dataset), but does not explicitly differentiate from search_data.

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 that this tool is used to retrieve a list of datasets with optional filters, but it does not explicitly state when to use this tool versus alternatives like search_data. There is no mention of when not to use it, so guidance is limited to what is inferred from the tool's purpose.

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