dotPilot: Agent for Claude Code

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/agent-as-function-tool.md

agent-as-function-tool is an agent for Claude Code, Codex from managedcode/dotPilot. It costs 10 tokens per session (1,192 once invoked), scanned A, original, MIT.

A tutorial for using one AI agent as a function tool that another agent can call.

In plain words
What is it for?
Use it to expose an agent as a C# function, give it to another agent as a tool, and build workflows where agents call one another.
Why use it?
It lets agents share specialised tasks, so one agent can delegate work instead of containing every capability itself.

Agent for Claude CodeCodex

Written for Codex and Claude Code: installed under .codex/, but also a Claude Code subagent (agents/*.md).

This is managedcode/dotPilot's own configuration. It tells Claude Code and Codex how to work on dotPilot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dotPilot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to managedcode/dotPilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/managedcode/dotPilot/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/agent-as-function-tool.md
Clone the repo
git clone --depth 1 https://github.com/managedcode/dotPilot

Made for: Claude Code, Codex.

Wrote 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.

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README.md
[![agentmods](https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-as-function-tool/github.svg)](https://agentmods.dev/agents/managedcode/dotpilot/agent-as-function-tool)
Your own site
<a href="https://agentmods.dev/agents/managedcode/dotpilot/agent-as-function-tool"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-as-function-tool/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.

agentmods 80×15 button for agent-as-function-tool

Your own site · 80×15
<a href="https://agentmods.dev/agents/managedcode/dotpilot/agent-as-function-tool"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-as-function-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.01192
Opus 5.5 $0.00004 $0.00477
Sonnet 5.5 $0.00002 $0.00238
Haiku 4.5 $0.00001 $0.00119

Measured 1mo ago against content hash 0a384aa2bf57, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-as-function-tool 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.

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/agent-as-function-tool.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using an agent as a function tool

::: zone pivot="programming-language-csharp"

This tutorial shows you how to use an agent as a function tool, so that one agent can call another agent as a tool.

Prerequisites

For prerequisites and installing NuGet packages, see the Create and run a simple agent step in this tutorial.

Create and use an agent as a function tool

You can use an AIAgent as a function tool by calling .AsAIFunction() on the agent and providing it as a tool to another agent. This allows you to compose agents and build more advanced workflows.

First, create a function tool as a C# method, and decorate it with descriptions if needed. This tool will be used by your agent that's exposed as a function.

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.";

Create an AIAgent that uses the function tool.

using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;

AIAgent weatherAgent = new AzureOpenAIClient(
    new Uri("https://<myresource>.openai.azure.com"),
    new AzureCliCredential())
     .GetChatClient("gpt-4o-mini")
     .AsAIAgent(
        instructions: "You answer questions about the weather.",
        name: "WeatherAgent",
        description: "An agent that answers questions about the weather.",
        tools: [AIFunctionFactory.Create(GetWeather)]);

Now, create a main agent and provide the weatherAgent as a function tool by calling .AsAIFunction() to convert weatherAgent to a function tool.

AIAgent agent = new AzureOpenAIClient(
    new Uri("https://<myresource>.openai.azure.com"),
    new AzureCliCredential())
     .GetChatClient("gpt-4o-mini")
     .AsAIAgent(instructions: "You are a helpful assistant who responds in French.", tools: [weatherAgent.AsAIFunction()]);

Read the full file on GitHub · 153 lines

Changes

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.

  1. 1mo ago First seen · 153 lines · 10 tokens per session scan A 0a384aa2bf57

Subscribe to this mod's changes

agent-as-function-tool is an agent published in the GitHub repository managedcode/dotPilot (25 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 1,192 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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