search_datasets

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

No annotations are provided, so the description carries full burden. It discloses language support, that empty query returns newest datasets, and the return structure. It is fairly transparent, though it doesn't mention pagination behavior or any side effects.

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 concise and front-loaded with the key instruction. It includes a return example, which is helpful. Slight repetition of the 'IDs for get_dataset' point, but overall efficient.

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?

Given the tool's complexity (5 params, pagination, language, filters), the description covers purpose, usage priority, language, and return structure. It omits explicit pagination handling but the output schema is effectively described. It is mostly complete for effective use.

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 100%, baseline 3. The description adds value by explaining query behavior (Serbian/English, empty returns newest) and connecting to get_dataset. While it doesn't elaborate on all parameters, it provides meaningful context beyond schema.

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 it searches data.gov.rs datasets and emphasizes it as the first call to obtain dataset IDs, distinguishing it from siblings like browse_recent_datasets or search_by_tag.

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 explicitly instructs to call this first before get_dataset and never guess IDs, providing clear context. However, it doesn't mention when not to use it, such as when an ID is already known.

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