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PHoenixs57

literature-search-mcp

by PHoenixs57

Search scholarly literature

literature_search

Search multiple scholarly databases in parallel and receive deduplicated, ranked results with abstracts. Find relevant literature from PubMed, bioRxiv, Crossref, and more.

Instructions

Search PubMed, Europe PMC, bioRxiv/medRxiv, Crossref, OpenAlex, Semantic Scholar, and arXiv. Sources fan out in parallel by default; results are normalized, deduplicated, and fused deterministically. Returns provider-supplied metadata abstracts or summaries capped at 3,000 characters by default, never full text or citation graphs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum fused results to return
queryYesLiterature query
sourcesNoOptional source subset; default is all sources
year_toNo
year_fromNo
open_accessNoWhen true, retain results with positive open-access or PDF evidence
abstract_max_charsNoMaximum characters returned for each abstract or summary
Behavior4/5

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

The description adds valuable behavioral context beyond annotations: sources fan out in parallel, results are normalized/deduplicated/fused deterministically, and abstracts are capped at 3,000 characters. It also clarifies it never returns full text or citation graphs. No contradiction with annotations is 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?

Three sentences with front-loaded action and no filler. Each sentence adds distinct information: sources covered, processing behavior, and return limitations. Efficient and well-structured.

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 tool's complexity (multi-source search) and lack of output schema, the description covers the essential behavior: what sources, how results are fused, and output constraints. It does not mention pagination or error handling, but for a search tool this is reasonably complete. Could add a bit more on result structure but not required.

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 71%, so most parameters already have descriptions. The description adds that the abstract cap defaults to 3,000 characters (already in schema) and explains source behavior, but does not add meaning for year_from/year_to or query syntax. It provides marginal value beyond what the schema already documents.

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

Purpose4/5

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

The description clearly states it searches across seven named scholarly databases with specific actions like parallel fan-out and deterministic fusion. It does not explicitly distinguish from sibling tools literature_sources and literature_get_fulltext, but the verb 'search' plus the source list makes the purpose unambiguous.

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?

Usage context is implied: use this tool to search literature. No explicit guidance on when to use this versus literature_sources or literature_get_fulltext, nor any exclusions or prerequisites. The description does not mention that literature_get_fulltext should be used for full text, though the 'never full text' hint indirectly suggests it.

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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