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research_paper_search

Read-only

Search academic papers on Semantic Scholar with filters for field, year, and open access. Retrieve metadata, abstracts, citation counts, and TL;DR summaries.

Instructions

Search academic papers on Semantic Scholar.

Returns papers with metadata, abstracts, citation counts, and TL;DR summaries. Supports filtering by field of study, year range, and open access availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for academic papers
fields_of_studyNoFilter by fields (e.g. Computer Science, Medicine)
year_rangeNoYear filter: '2020' for single year, '2020-2024' for range, '2020-' for since
open_access_onlyNoOnly return open access papers
limitNoMax papers to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations readOnlyHint=true and openWorldHint=true already indicate read-only and evolving data. The description adds behavioral context by detailing returned content and supported filters, going beyond schema. No contradictions present.

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?

Two concise sentences, front-loaded with core purpose, no unnecessary words. Every sentence adds clear value.

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

Completeness4/5

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

Given the presence of an output schema and annotations, the description covers essential functionality. It could mention pagination or error handling but is largely complete for search tool.

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

Parameters3/5

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

Schema description coverage is 100%, with each parameter well-described. The tool description only summarizes filters without adding meaning beyond schema, so it meets the baseline of 3.

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 tool searches academic papers on Semantic Scholar, mentioning specific returned content (metadata, abstracts, citation counts, TL;DR summaries) and available filters. It differentiates from sibling tools like research_paper_details and research_paper_citations by focusing on broad search.

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

Usage Guidelines3/5

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

The description implies usage for finding papers with filtering but does not explicitly state when to use this tool versus alternatives like research_deep or research_web. No exclusion criteria or when-not-to-use guidance is provided.

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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