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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only restates the search intent. It does not explain return behavior, pagination, rate limits, query syntax limitations, or how an empty q is handled.

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 front-loaded sentence with no filler, making it easy to parse. It is appropriately short, though the brevity leaves several useful details absent.

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 single-parameter search tool with an output schema, the description is minimally sufficient: an agent can likely call datacite with a q keyword. However, it lacks sibling differentiation, query-syntax guidance, and any indication of result scope or limits, so there are clear gaps.

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 schema describes q only as a string with a default of '', and schema description coverage is 0%. The description's 'by keyword' meaningfully indicates that q should contain a keyword, but it does not provide an example, format, or behavior for an empty q.

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 states a specific verb ('Search') and resource ('research datasets/DOIs'), and clarifies the scope ('by keyword'). This makes the tool's purpose immediately understandable. However, it does not explicitly distinguish it from sibling search/research tools such as zenodo, openalexwork, or doi, so it stops short of a 5.

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?

There is no guidance on when to use DataCite instead of related tools like doi, zenodo, or openalexwork. No exclusions, alternatives, or conditions are mentioned; the agent must infer usage solely from the phrase 'by keyword'.

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