Health & Science

Tools: 4

Examples use the Google ADK callable wrapper surface so each example is directly executable as ordinary Python.

Tool Index

Tool
fetch_health_data
fetch_global_health_data
fetch_wonder
load_pubmed

---

fetch_health_data

Retrieve HealthData.gov Socrata metadata and rows.

Signature

def fetch_health_data( mode: str='rows', domain: str='healthdata.gov', dataset_id: str='', select: str='', where: str='', order: str='', group: str='', limit: int=25, offset: int=0, time: int=20 ) -> Any

Purpose

Retrieve HealthData.gov Socrata metadata and rows through HealthData.gov. Use mode to select among metadata, rows. Result-count arguments bound the amount of data requested.

Example

from fonky.gemini.tools import fetch_health_data

result = fetch_health_data( )

print( result )

Arguments

Argument	Type	Description
mode	str	Operation selector. Supported values detected in the implementation include metadata, rows.
domain	str	Provider domain or host containing the requested dataset.
dataset_id	str	Provider dataset identifier.
select	str	Socrata $select expression defining returned columns or calculations.
where	str	Socrata $where filter expression.
order	str	Provider-supported result ordering expression.
group	str	Socrata $group expression used to aggregate rows.
limit	int	Maximum number of records or items to return.
offset	int	Zero-based result offset used for pagination.
time	int	Request timeout in seconds.

Returns

Any: Structured mapping produced by the operation.

Raises

ValueError: If a required value is missing, blank, or outside the supported range. Error: If the implementation wraps a provider, parsing, filesystem, or processing failure in the project error type.

---

fetch_global_health_data

Retrieve WHO global health indicator and Athena data.

Signature

def fetch_global_health_data( mode: str='indicator_registry', query_path: str='', fmt: str='json', time: int=20 ) -> Any

Purpose

Retrieve WHO global health indicator and Athena data through WHO Global Health.

Example

from fonky.gemini.tools import fetch_global_health_data

result = fetch_global_health_data( )

print( result )

Arguments

Argument	Type	Description
mode	str	Operation mode used to select the backing workflow.
query_path	str	Query path value used by the operation.
fmt	str	Fmt value used by the operation.
time	int	Request timeout in seconds.

Returns

Any: Value produced by the delegated Fonky implementation.

---

fetch_wonder

Retrieve CDC WONDER template and query submission.

Signature

def fetch_wonder( mode: str='metadata_template', dataset_id: str='D76', request_xml: str='', time: int=20 ) -> Any

Purpose

Retrieve CDC WONDER template and query submission through Fonky's canonical implementation so the callable can be registered directly with a Google ADK Agent through its tools collection.

Example

from fonky.gemini.tools import fetch_wonder

result = fetch_wonder( )

print( result )

Arguments

Argument	Type	Description
mode	str	Operation mode used to select the backing workflow.
dataset_id	str	Dataset id value used by the operation.
request_xml	str	Request xml value used by the operation.
time	int	Request timeout in seconds.

Returns

Any: Value produced by the delegated Fonky implementation.

---

load_pubmed

Load PubMed research documents.

Signature

def load_pubmed( query: str, max_docs: int=5 ) -> Any

Purpose

Load PubMed research documents through Fonky's canonical implementation so the callable can be registered directly with a Google ADK Agent through its tools collection.

Example

from fonky.gemini.tools import load_pubmed

result = load_pubmed(
    query='federal spending' )

print( result )

Arguments

Argument	Type	Description
query	str	Search query or natural-language request submitted to the backing operation.
max_docs	int	Max docs value used by the operation.

Returns

Any: Value produced by the delegated Fonky implementation.

---