Articles about Function Tools — exploring patterns, best practices, and real-world implementations in production systems.
7 posts tagged with function tools. ← All posts
Wrap a typed Go function as a tool, let the model call it, and compose whole agents as tools.
Wrap a typed Go function as a tool with functool.MustNew, let the model call it, and compose whole agents as tools with agenttool.New.
Turn a plain Python function into something the model can call, and watch the tool-call loop close itself.
Turn a plain Python function into a tool the model can call. The @tool decorator, the tool-call loop, multiple tools, and what the model actually sees.
How to wrap an ordinary Go function as a tool the model can call, with the schema derived automatically from its types.
Wrap a plain Go func with functool.MustNew and the framework derives its JSON schema and drives the tool call inside a single RunText — two model round-trips, one call.
How a plain Python function becomes a JSON schema the model can call.
The framework turns a function's signature and docstring into a schema. Annotated Field descriptions document each parameter, and @tool overrides the name and description.
How to wrap a plain typed Go function as a tool the model can call mid-run.
Wrap a plain typed Go function with functool.MustNew and attach it via agent.Config.Tools so the model can call it; the SDK infers the JSON schema from the signature.
Hand the agent a plain Go function it can decide to call mid-conversation — the model requests it, the framework runs it, the result flows back.
Register a plain Go function as a tool with functool.MustNew; the model decides when to call it, the framework runs it, and the result flows back into the answer.
A tool is just a Python function the model may call: decorate it with @tool, annotate the arguments, and the framework wires the schema, the call, and the result back into the conversation.
Turn a Python function into a tool with the @tool decorator and Annotated Field descriptions, then let the model pick the right one from the question wording.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.