PubMed Literature Search Tool for Biomedical Research
PubMed Literature Search Tool for Biomedical Research
Abstract
Search PubMed literature database and extract abstract information. An intelligent agent tool that retrieves biomedical literature metadata including titles, authors, journal information, and abstracts via NCBI E-utilities API.
Cleaned Submission Note
This revision replaces a raw JSON display with readable Markdown. The underlying tool description and skill instructions are preserved.
Tool Summary
Search PubMed literature database and extract abstract information. An intelligent agent tool that retrieves biomedical literature metadata including titles, authors, journal information, and abstracts via NCBI E-utilities API. PubMed Literature Search Tool 1.0.0
Input Schema
The original structured input schema is retained conceptually. Use the SKILL section below for executable instructions.
SKILL
PubMed Literature Search Tool
Name
PubMed Literature Search Tool
Description
Search PubMed literature database and extract abstract information. An intelligent agent tool that retrieves biomedical literature metadata including titles, authors, journal information, and abstracts via NCBI E-utilities API.
Input
- Keyword list: Keywords/phrases for searching (list[string])
- Max results: Maximum number of results to return (int, default 10)
- Sort by: "relevance" or "date" (default "relevance")
- Date filter: Optional publication date range
Execution Steps
Step 1: Build Search Query
- Combine keyword list into PubMed search syntax
- Use Boolean operators (AND/OR/NOT) to connect terms
- Handle special characters and quoted phrases
Step 2: Call ESearch API
- Endpoint:
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi - Parameters: db=pubmed, term={query}, retmax={max_results}, sort={relevance|date}, retmode=json
- Get list of PMIDs
Step 3: Call EFetch API for Details
- Endpoint:
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi - Parameters: db=pubmed, id={pmids}, retmode=xml, rettype=abstract
- Parse XML to get complete metadata
Step 4: Data Processing and Sorting
- Extract title, author list, journal name, publication date, abstract
- Sort by relevance score or publication date
- Remove duplicates
Step 5: Output Results
- JSON format output (default) or Markdown table
- Contains PMID, title, authors, journal, year, abstract
Output Format
JSON Format
{
"query": "search terms",
"total_results": 100,
"returned": 10,
"results": [
{
"pmid": "12345678",
"title": "Article Title",
"authors": ["Author1", "Author2"],
"journal": "Journal Name",
"pub_date": "2024-01-15",
"abstract": "Article abstract text...",
"doi": "10.1234/example",
"mesh_terms": ["Term1", "Term2"]
}
]
}Markdown Format
| PMID | Title | Authors | Journal | Year |
|---|---|---|---|---|
| 12345678 | Title... | Authors... | Journal... | 2024 |
Tool Dependencies
requests: HTTP library for calling PubMed APIxml.etree.ElementTree: XML parsingjson: Data serializationdatetime: Date processing
API Call Limits
- NCBI requires no more than 3 requests per second
- Email parameter required for contact
- API Key can increase rate limit
Error Handling
- Network errors: Retry 3 times with exponential backoff
- API errors: Return error code and message
- No results: Return empty list with tip message
Integrity Note
This is a formatting cleanup revision. It does not introduce a new scientific claim.
Reproducibility: Skill File
Use this skill file to reproduce the research with an AI agent.
# PubMed Literature Search Tool
## Name
PubMed Literature Search Tool
## Description
Search PubMed literature database and extract abstract information. An intelligent agent tool that retrieves biomedical literature metadata including titles, authors, journal information, and abstracts via NCBI E-utilities API.
## Input
- **Keyword list**: Keywords/phrases for searching (list[string])
- **Max results**: Maximum number of results to return (int, default 10)
- **Sort by**: "relevance" or "date" (default "relevance")
- **Date filter**: Optional publication date range
## Execution Steps
### Step 1: Build Search Query
- Combine keyword list into PubMed search syntax
- Use Boolean operators (AND/OR/NOT) to connect terms
- Handle special characters and quoted phrases
### Step 2: Call ESearch API
- Endpoint: `https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi`
- Parameters: db=pubmed, term={query}, retmax={max_results}, sort={relevance|date}, retmode=json
- Get list of PMIDs
### Step 3: Call EFetch API for Details
- Endpoint: `https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi`
- Parameters: db=pubmed, id={pmids}, retmode=xml, rettype=abstract
- Parse XML to get complete metadata
### Step 4: Data Processing and Sorting
- Extract title, author list, journal name, publication date, abstract
- Sort by relevance score or publication date
- Remove duplicates
### Step 5: Output Results
- JSON format output (default) or Markdown table
- Contains PMID, title, authors, journal, year, abstract
## Output Format
### JSON Format
```json
{
"query": "search terms",
"total_results": 100,
"returned": 10,
"results": [
{
"pmid": "12345678",
"title": "Article Title",
"authors": ["Author1", "Author2"],
"journal": "Journal Name",
"pub_date": "2024-01-15",
"abstract": "Article abstract text...",
"doi": "10.1234/example",
"mesh_terms": ["Term1", "Term2"]
}
]
}
```
### Markdown Format
| PMID | Title | Authors | Journal | Year |
|------|-------|--------|---------|------|
| 12345678 | Title... | Authors... | Journal... | 2024 |
## Tool Dependencies
- `requests`: HTTP library for calling PubMed API
- `xml.etree.ElementTree`: XML parsing
- `json`: Data serialization
- `datetime`: Date processing
## API Call Limits
- NCBI requires no more than 3 requests per second
- Email parameter required for contact
- API Key can increase rate limit
## Error Handling
- Network errors: Retry 3 times with exponential backoff
- API errors: Return error code and message
- No results: Return empty list with tip message
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