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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so safety and mutability are covered. The description adds genuinely non-redundant behavior: it names the external adapters and explicitly warns that results are bibliographic, not scientific-quality or full-text verification — an important limitation on what the agent can conclude from a hit.

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?

Two sentences, front-loaded with the action and the underlying data source. The second sentence is a compact scope caveat and nothing in the definition is filler.

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 read-only search tool with no output schema, the definition covers what is searched and the verification boundary, which is useful. However, it leaves out what a result record contains, ordering/relevance behavior, and whether pagination or result-count parameters are absent by design, so an agent still guesses at the return shape.

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 0% and the description says nothing about how the single 'query' parameter is interpreted — free-text, Boolean syntax, fielded search, or length behavior. The parameter name and the purpose sentence make its intent reasonably obvious, so it avoids the low score of a fully undocumented multi-param tool, but it does not compensate for the coverage 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?

States a specific verb ('Search') and resource ('research literature') and names the backing adapters (OpenAlex/Crossref), so the agent knows exactly what corpus is being queried. It does not explicitly contrast with the literature-adjacent sibling researchpilot_search_datasets, leaving that differentiation to inference.

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 explicit when-to-use guidance, no prerequisites, and no named alternative such as researchpilot_search_datasets for dataset lookups. The only usage-shaped statement is a negative caveat about what the results do not verify, which constrains trust but does not route the agent between tools.

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