batch_get_semantic_scholar_papers

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

With no annotations, the description carries the full burden for behavioral disclosure. It only mentions what the tool does, not rate limits, batch size limits, error handling for invalid IDs, or read-only status. This leaves significant behavioral ambiguity.

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 that front-loads the verb and resource, then efficiently enumerates supported ID types. No filler or redundant information.

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?

The tool is moderately complex with an output schema and two parameters. The description covers the core purpose and ID types, but lacks usage guidance, behavioral details, and clarity about the fields parameter. It is adequate but not comprehensive.

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 is the only source of parameter meaning. It helpfully clarifies the paper_ids parameter by listing accepted ID formats (S2, CorpusId, DOI, etc.), but the fields parameter is entirely unexplained, leaving a gap.

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's purpose: 'Get multiple papers' with a specific list of supported ID types. This distinguishes it from single-paper retrieval and search tools, and the 'batch' in the name reinforces the multi-item scope.

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?

The description implies usage when you have multiple paper IDs to fetch at once, but it does not explicitly specify when to use this tool versus alternatives like get_semantic_scholar_paper_details or search tools. No exclusions or alternative comparisons are provided.

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