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

Annotations already cover read-only and open-world behavior, but the description adds meaningful context they don't: the $0.002 per-successful-call pricing via x402 with chains listed, the fact that failed calls are not charged, and the abstract cap of 2,000 characters. It stops short of discussing pagination or rate limits.

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?

A single dense paragraph that front-loads the source, resource, and returned fields before moving to filters, sorting, and pricing. Every clause carries distinct information with no 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?

With an output schema present, the return format need not be described, yet the description enumerates key fields and fully covers filters, sort behavior, limit bounds, and cost. It is essentially complete for an agent to call it correctly, with only minor gaps like error or empty-result behavior.

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%, so the baseline is 3, but the description adds a real nuance absent from the schema: that citations/date sorting treats the search words as one phrase. It also restates filter semantics (year range, open access only, minimum citations) that corroborate the terse schema descriptions.

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 ('Searches') plus the exact resource and source ('OpenAlex (CC0) for scholarly works'), and enumerates the returned fields. This clearly distinguishes it from scholarly siblings like pubmed, arxiv, and doi without opening their schemas.

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?

The description details filters and sort modes, which implies the search context, but never states when to choose this tool over pubmed/arxiv/doi or any exclusions. Usage is inferable rather than explicit.

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