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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not explain whether paper_id is required, how limit affects results, what happens if the paper is not found, or whether recommendations are ranked. This is a significant gap for a recommendation tool.

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 a single, short sentence, which is concise and front-loaded. However, it is under-specified and does not earn its place with meaningful detail, so it is not as effective as it could be.

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 no output schema, no annotations, and only two minimally described parameters, the description is far from complete. It omits return format, required inputs, and edge-case behavior, making it inadequate for an agent to invoke the tool correctly without additional assumptions.

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?

The schema has 0% description coverage for its two parameters. The description hints at paper_id via 'a given paper' but does not explain the limit parameter or clarify the relationship between them. It adds minimal value beyond the schema's bare type definitions.

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 the tool provides paper recommendations similar to a given paper, which clearly identifies the action and resource. It distinguishes itself from siblings like search_papers and citation_graph by focusing on 'similar to a given paper,' though it lacks specificity about the output format.

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?

No guidance is provided on when to use this tool versus alternatives like citation_graph or paper_detail. The description does not mention prerequisites (e.g., needing a valid paper_id) or when this is the preferred choice.

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