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

No annotations are provided, so the description must disclose behavior. It mentions 'cutting-edge research before peer review' but that's about the content, not the tool's behavior (e.g., result formats, rate limits, search syntax). The description does not explain what the agent should expect.

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 concise sentence, but it spends words on a marketing tagline ('cutting-edge research before peer review') rather than operational details. It could be restructured to include more useful information in the same space.

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 zero parameter documentation, the description is insufficient. It explains the source but not how to use the tool, what parameters do, or what the agent will receive in response. Sibling context suggests overlap with 'search_papers' that is unaddressed.

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% for the three parameters (limit, query, topic). The description adds no meaning beyond parameter names. The agent receives no clues about how to use 'limit' or 'topic' in a query.

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 the tool searches arXiv preprints, which is a specific resource. This distinguishes it from generic search tools, though it doesn't explicitly contrast with the sibling 'search_papers' tool. The verb+resource structure is solid.

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 on when to use this tool versus alternatives like 'search_papers' or 'author_search'. The description implies it's for arXiv content but doesn't mention exclusions or context where other searches would be preferred.

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