Borrowing it
Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/function-tools.mdgit clone --depth 1 https://github.com/managedcode/PrompterOneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/managedcode/prompterone/function-tools)<a href="https://agentmods.dev/agents/managedcode/prompterone/function-tools"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/function-tools/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/managedcode/prompterone/function-tools"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/function-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00009 | $0.01732 |
| Opus 5.5 | $0.00004 | $0.00693 |
| Sonnet 5.5 | $0.00002 | $0.00346 |
| Haiku 4.5 | $0.00001 | $0.00173 |
Grade A, and why
function-tools scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- function-tools — 92% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using function tools with an agent
[!NOTE] The live Learn page for this legacy tutorial path now resolves to the canonical tools article at
https://learn.microsoft.com/agent-framework/agents/tools/function-tools. This local file keeps the historical path so existing references inside the skill catalog remain stable.
This tutorial step shows you how to use function tools with an agent, where the agent is built on the Azure OpenAI Chat Completion service.
::: zone pivot="programming-language-csharp"
[!IMPORTANT] Not all agent types support function tools. Some might only support custom built-in tools, without allowing the caller to provide their own functions. This step uses a
ChatClientAgent, which does support function tools.
Prerequisites
For prerequisites and installing NuGet packages, see the Create and run a simple agent step in this tutorial.
Create the agent with function tools
Function tools are just custom code that you want the agent to be able to call when needed.
You can turn any C# method into a function tool, by using the AIFunctionFactory.Create method to create an AIFunction instance from the method.
If you need to provide additional descriptions about the function or its parameters to the agent, so that it can more accurately choose between different functions, you can use the System.ComponentModel.DescriptionAttribute attribute on the method and its parameters.
Here is an example of a simple function tool that fakes getting the weather for a given location. It is decorated with description attributes to provide additional descriptions about itself and its location parameter to the agent.
using System.ComponentModel;
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is cloudy with a high of 15°C.";
When creating the agent, you can now provide the function tool to the agent, by passing a list of tools to the AsAIAgent method.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 197 lines · 9 tokens per session scan A 78205f72ff74
function-tools is an agent published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 1,732 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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