get_statistics

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

With no annotations provided, the description carries the full burden of disclosure. It clearly states the tool retrieves summary statistics and specifies the kinds of data returned (counts of categories, organizations, datasets). This is sufficient for a non-destructive, read-only statistics endpoint.

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 core action and resource, with the specific statistics listed in parentheses for clarity. No unnecessary words or repetition.

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 simple tool with no parameters and no output schema, the description fully covers the tool's purpose and the content of its response. It is complete and self-contained, with no missing critical information.

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 has zero parameters, so according to the rubric, the baseline is 4. The description does not need to explain parameter semantics, and the schema confirms no inputs are required.

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 ('Mendapatkan' - get) and identifies the resource ('ringkasan statistik portal Satu Data Ngawi') with clear scope (counts of categories, organizations, datasets). This clearly distinguishes it from sibling tools like get_kategori_sektoral or get_organisasi, which target specific entities.

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 clearly implies the tool is for obtaining an overall summary of the portal rather than specific entities, which provides context for when to use it. However, it does not explicitly mention alternatives or exclusion conditions, so it doesn't fully meet the top bar.

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