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search_academic

Search across 15+ academic databases in parallel to retrieve deduplicated papers with metadata, DOIs, citations, and open access info. Filter by year, field, language, and sources.

Instructions

Search across 15+ academic databases in parallel. Returns deduplicated papers with metadata, DOIs, citations, and open access info. Supports year filtering, field selection, and language preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNoAcademic field (medicine, engineering, social_sciences, etc.)
queryYesThe search query (e.g. 'machine learning in healthcare')
sourcesNoSpecific sources to query (omit for all available)
year_toNoFilter: latest publication year
languageNoLanguage filter (en, tr, all)en
year_fromNoFilter: earliest publication year
max_resultsNoTotal target number of results
open_access_onlyNoOnly return open access papers
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses key behaviors like parallel search and deduplication, but lacks details on rate limits, auth needs, or potential side effects.

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 two efficient sentences with no fluff. First sentence states core action, second adds details. Perfectly sized.

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?

For a search tool with 8 parameters and no output schema, the description covers behavior, key features, and result content. Missing details on pagination or result structure, but still fairly complete.

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 coverage is 100%, so the schema already documents all parameters. The description adds no new parameter-specific meaning beyond summarizing filter options, which is already evident from the 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 it searches academic databases and returns deduplicated papers with metadata. It distinguishes from siblings like search_by_doi and search_citations which are more specific.

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 mentions parallel search, deduplication, and filter options, providing clear context for when to use. However, it does not explicitly state when not to use or mention alternatives among sibling tools.

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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