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dam2452

semanticscholar-mcp

by dam2452

get_papers_batch

Retrieve detailed information for up to 500 papers in a single request by providing a list of paper IDs.

Instructions

Get details for up to 500 papers at once, given a list of paper IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNo
paper_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It mentions the 500-paper limit but lacks details on error handling, missing IDs, response format, or any side effects. It doesn't even explicitly state it is a read-only operation, though that is implied.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the core purpose ('Get details') and key constraints ('up to 500', 'list of paper IDs'). Every word earns its place, with no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a batch tool and the presence of an output schema, the description is incomplete. It omits critical context about the 'fields' parameter, behavior with invalid IDs, and whether the response is a list or map. While the output schema partially covers return format, the description still fails to clarify usage nuances that an agent would need to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description does not explain the 'fields' parameter, which controls which details are returned. Paper_ids is self-explanatory from the description, but the optional 'fields' parameter is ambiguous and could mean different things (e.g., field names for filtering, response fields, etc.). The description adds no additional meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get', the resource 'papers', and the batch scope 'up to 500 at once' with a list of paper IDs. This differentiates it from the singular get_paper and search-oriented siblings like search_papers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool: when you have multiple paper IDs and need details in a single call. It doesn't explicitly name alternatives or exclusions, but the batch context is clear enough for an agent to infer the appropriate scenario.

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

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