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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds value by enumerating the returned fields (quoted result, citations, retraction status, Nobel recognition, enabling product), which matters because there is no output schema, but it says nothing about response size, quoting fidelity, or behavior when the paper is unknown/retracted.

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?

It is a single fragment with zero filler, and the input ('Paper id') is front-loaded before the returns. The arrow shorthand is dense to the point of reading like a schema rather than prose, which costs a little clarity.

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 one-parameter read-only lookup with annotations covering safety and no output schema, the description does sketch the return payload, which is the main missing structured information. It still leaves the identifier format and its relationship to sibling evidence tools unspecified, so it is adequate but not complete.

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%, so the description carries the burden for the single parameter; 'Paper id' maps to `ref` and tells the agent what kind of value to supply. However, the accepted identifier format (DOI, arXiv id, internal knos id) is never specified, which is the key ambiguity for a lone required string parameter.

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 arrow notation 'Paper id -> the proven result (quoted), citations, retraction status, Nobel recognition, the product it enables' makes clear this is a lookup that takes a paper identifier and returns a structured evidence bundle about a landmark paper. The resource and returned content are specific, though the verb ('read'/'retrieve') is only implied by the title and no sibling (e.g. knos_evidence) is named for contrast.

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 statement of when to use this versus knos_evidence, knos_cross, or knos_memory_search, and no prerequisites (e.g. 'requires a paper id from knos_milestones'). Usage is only inferrable from the input-output arrow, which is not real guidance.

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