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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely useful non-schema behavior: a metered payment model (free within daily allowance, then $0.002 USDC per call via x402), which tells the agent there is a cost/auth consideration before calling. It stops short of any rate-limit or result-shape detail, but that is largely carried by the output schema.

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 short telegraphic fragments, front-loaded with the resource and its returned metrics, then the pricing caveat. Efficient, though the first fragment is a noun phrase with no explicit verb, which slightly reduces clarity for no length savings.

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?

With an output schema present, return fields need not be detailed and the annotations cover the safety profile; the description correctly spends its words on the one thing structured fields can't express — the paid-metering model. For a one-parameter, read-only lookup tool this is complete.

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?

There is a single required parameter with 100% schema description coverage ('Author name'), so the schema already does the heavy lifting and the baseline is 3. The description adds nothing about name format (e.g. full name vs. surname, boolean syntax) that would go beyond the 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 identifies the resource (researchers/authors) and the payload returned (h-index, works, citation counts), and the title supplies the search verb. It is clear enough to distinguish author search from works-search or sources-search, but it never contrasts itself against the singular sibling scholarly__author, so sibling differentiation is only implied.

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?

No when-to-use guidance is given: nothing says whether to reach for this versus scholarly__author (ID lookup) or scholarly__autocomplete (typeahead), nor what input form the 'search' value should take. The only contextual statement is about cost, not selection.

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