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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuine value by disclosing which repositories are indexed, telling the agent the scope of the index. It says nothing about result limits, latency, or pagination behavior beyond what the schema already documents.

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?

One compact block that front-loads the user-utterance triggers ahead of the tool identity and usage note, with no filler sentences. The slash-separated phrasing is slightly listy but earns its space by aiding query routing.

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?

An output schema exists, so return values need no explanation, and annotations cover the safety profile. The description supplies the remaining call-critical context: what corpus is searched and why an agent would call it. Only the two year parameters remain undocumented, which is a minor schema issue rather than a description failure.

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 60%: query, page and size are documented in the schema, but from_year and to_year have no descriptions anywhere. The description only loosely gestures at year filtering via the word 'topic/subject/field' and does not explain the year parameters, so it does not compensate for the documented gap.

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 ('search') on a specific resource ('research datasets registered in OpenAIRE') and enumerates the source repositories (Zenodo, Dryad, Figshare, B2SHARE). It implicitly distinguishes itself from sibling searches by naming 'datasets' rather than publications or projects, but it never explicitly contrasts with those siblings.

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 gives concrete routing context with three user-phrasing triggers ('find research datasets about [topic]', 'open data on [subject]', 'look up [field] datasets') and states the intent: reuse or citation. It stops short of naming alternatives or when-not-to-use conditions, so it is clear but not exhaustive.

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