Pubmed

PubmedTools enable an Agent to search PubMed for articles.

Prerequisites

The following example requires the openai library.

uv pip install -U openai

Example

The following agent will search PubMed for articles related to “ulcerative colitis”.

cookbook/91_tools/pubmed_tools.py

from agno.agent import Agent
from agno.tools.pubmed import PubmedTools

agent = Agent(tools=[PubmedTools()])
agent.print_response("Tell me about ulcerative colitis.")

Toolkit Params

Parameter	Type	Default	Description
`email`	`str`	`"your_email@example.com"`	Specifies the email address to use.
`max_results`	`Optional[int]`	`None`	Optional parameter to specify the maximum number of results to return.
`results_expanded`	`bool`	`False`	Return expanded article details including author, journal, DOI, URLs, keywords, and MeSH terms.
`enable_search_pubmed`	`bool`	`True`	Enable the search_pubmed functionality.
`all`	`bool`	`False`	Enable all functionality.

Toolkit Functions

Function	Description
`search_pubmed`	Searches PubMed for articles based on a specified query. Parameters include `query` for the search term and `max_results` for the maximum number of results to return (default is 10). Returns a JSON string containing the search results, including publication date, title, and summary.

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Prerequisites

Example

Toolkit Params

Toolkit Functions

Developer Resources

​Prerequisites

​Example

​Toolkit Params

​Toolkit Functions

​Developer Resources

Prerequisites

Example

Toolkit Params

Toolkit Functions

Developer Resources