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

No annotations exist, so the description carries the full burden. It does disclose the card's contents (quoted result, retraction status, recognition), which is genuinely useful given there is no output schema, but it says nothing about read-only safety, authentication, rate limits, or error behavior for an invalid id.

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 fragment with no filler, and the input-to-output relationship is front-loaded. The arrow shorthand is efficient but borders on cryptic for an agent unfamiliar with the convention.

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 no annotations, no output schema, and 0% parameter coverage, the description does the heavy lifting on return values, which is a real contribution. It remains incomplete on ref format, failure modes, and routing against the many sibling retrieval 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 0%, so the description must compensate. The arrow notation does identify the single input as a 'paper id', which is more than the bare string type in the schema, but the expected format (DOI, internal id, external index id) is never specified.

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 plus title identify a specific resource (a landmark paper, keyed by paper id) and enumerate the exact payload it returns — proven result, citations, retraction status, Nobel recognition, enabling product. That is enough for an agent to know what the tool produces. It stops short of 5 because it never differentiates itself from lookalike siblings such as knos_evidence or knos_memory_recall.

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?

There is no when-to-use guidance, no prerequisite, and no named alternative. With a sibling set containing knos_evidence, knos_memory_search, and knos_memory_recall, the agent gets no signal about which retrieval tool fits which question.

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