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

With no annotations provided, the description carries the full disclosure burden. It usefully discloses keyless access, the $0.02/call cost, deduplication, and the ranked result-set format. However, it omits rate limits, pagination behavior, and error/empty-result handling, which are relevant for a keyless paid API.

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?

The description is dense but every sentence earns its place: purpose, output fields, capabilities, cost, and a complete parameter list with a worked example. The param enumeration is long but necessary given the empty schema; it is front-loaded with the core purpose before details.

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 search tool with no output schema and no annotations, the description covers the purpose, output fields, all parameters, cost, and access model. Remaining gaps — explicit response shape, rate limits, pagination beyond maxItems — are minor given the field list already implies the return format.

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 0% — the schema only exposes a loose 'params' object with additionalProperties. The description fully compensates by documenting every parameter (q, source with its enum, maxItems 1-50, year_from/year_to inclusive, sort with its enum) and providing a concrete example call. This is exactly the compensation the rubric demands at low coverage.

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 — search research papers across arXiv, PubMed, OpenAlex, Crossref, and Semantic Scholar in one call — and enumerates the returned fields (title, authors, year, venue, abstract, citation count, DOI, PDF link). It distinguishes itself from siblings like paper_details, paper_fulltext, and author_search by framing itself as the multi-source ranked search, though it never explicitly names those alternatives.

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 explains how to use the tool (query by keyword, restrict to one source, filter by year, sort), but never says when to use it versus alternatives like paper_details, paper_fulltext, or related_papers, and gives no exclusions. Usage is implied by its search-focused framing rather than stated explicitly.

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