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

Annotations already declare readOnly/openWorld/idempotent/non-destructive, and the description usefully adds caching ('Cached 24 hours'), a per-call price and payment rails (x402, USDC on five chains), and the CC0 licensing of the data. That is real operational context beyond the annotations, though it says nothing about failure modes, rate limits, or payment failure handling.

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?

Three tight sentences with the usage trigger front-loaded, followed by return shape, then cost/caching. The field enumeration and payment-rail list make it dense but nothing 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?

With an output schema present, the description need not explain return values, yet it still does so succinctly; cost, cache lifetime and data source are all covered. The one gap is sibling disambiguation from get_paper, which is material for an agent choosing among 80+ tools.

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 100%, so q, limit and year_from are already documented with ranges and defaults. The description only restates 'up to 25' and 'optionally from a given year' without adding syntax or format detail, so the baseline 3 applies.

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 and resource ('scholarly papers on a topic' returning 'OpenAlex works') and enumerates the returned fields, so the purpose is unambiguous. However, it never distinguishes itself from the sibling 'get_paper' (singular), leaving the agent to infer which of the two to pick.

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?

'Use when an agent needs scholarly papers on a topic' gives clear triggering context, and the description hints at scoping via 'optionally from a given year'. There are no exclusions or named alternatives, notably the singular get_paper sibling, so the routing guidance stops short of a 5.

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