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

The description explicitly states 'Keyless' and '[$0.08/call]', disclosing authentication requirements and cost. The language strongly implies a read-only retrieval operation ('get one structured result'), but it does not mention rate limits or explicitly state that no data is modified.

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 well organized, moving from purpose to output to cost to parameters and example. It could be slightly tightened, but nearly every sentence adds useful information and the structure makes it easy to scan.

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?

Given the empty schema and no annotations, the description covers the essential input parameters, output structure, deduplication behavior, identifier formats, and pricing. It does not mention error handling or what happens when neither q nor id is supplied, but the core usage context is complete enough for an agent.

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?

Although the JSON schema is generic and provides 0% coverage, the description fully compensates by defining the meaningful parameters: q, id, doi, and maxItems, including their roles, accepted identifier forms, and limits. The example further clarifies usage.

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 clearly states that the tool produces a literature review map from a seed paper or topic query, and enumerates the exact output contents (references, cited-by, related work, deduplicated table with specified fields). It also positions itself as consolidating search, citation lookup, and related-paper discovery into a single call.

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 invoke the tool with either q or id/doi, defines maxItems as the per-section node limit, and gives an example. It also contrasts itself with separate search/citation flows, though it does not explicitly name sibling tools or spell out exactly when to prefer this tool over each alternative.

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