get_papers_batch

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

No annotations provided. Description mentions rate limit efficiency but does not disclose side effects or return behavior. Adequate for a read-only batch fetch, but could be more explicit about non-destructive nature.

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?

Three well-structured sentences plus an Args line. Front-loaded with purpose, efficient in word count, no fluff.

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 one parameter and no output schema, the description covers the main usage, benefit, and parameter format. Could mention maximum batch size in the description, but it's already stated. Appropriate for its simplicity.

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 has 0% coverage, but description adds that paper_ids can be Semantic Scholar paper IDs, DOIs, arXiv IDs, etc. This significantly helps the agent understand acceptable inputs beyond the schema's plain array of strings.

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 it fetches details for many papers in one request, with a specific batch size limit (up to 500). It distinguishes from the sibling fetch_paper_details by emphasizing the batch aspect.

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?

Explicitly states it is more efficient than calling fetch_paper_details in a loop, especially under rate limits. Does not specify when not to use it, but context is clear.

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