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.
curl -O https://raw.githubusercontent.com/managedcode/dotPilot/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-tools.mdgit clone --depth 1 https://github.com/managedcode/dotPilotWrote 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/dotpilot/agent-tools)<a href="https://agentmods.dev/agents/managedcode/dotpilot/agent-tools"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-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/dotpilot/agent-tools"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-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 | $0.00008 | $0.02119 |
| Opus 5.5 | $0.00003 | $0.00848 |
| Sonnet 5.5 | $0.00002 | $0.00424 |
| Haiku 4.5 | $0.00001 | $0.00212 |
Grade A, and why
agent-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.
This is a copy
95% identical to agent-tools — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Tools
Tooling support can vary considerably between different agent types. Some agents might allow developers to customize the agent at construction time by providing external function tools or by choosing to activate specific built-in tools that are supported by the agent. On the other hand, some custom agents might support no customization via providing external or activating built-in tools, if they already provide defined features that shouldn't be changed.
::: zone pivot="programming-language-csharp"
Therefore, the base abstraction does not provide any direct tooling support, however each agent can choose whether it accepts tooling customization at construction time.
Tooling support with ChatClientAgent
The ChatClientAgent is an agent class that can be used to build agentic capabilities on top of any inference service. It comes with support for:
- Using your own function tools with the agent
- Using built-in tools that the underlying service might support.
[!TIP] For more information on
ChatClientAgentand information on supported services, see Simple agents based on inference services
Provide AIFunction instances during agent construction
There are various ways to construct a ChatClientAgent, for example, directly or via factory helper methods on various service clients, but all support passing tools.
// Sample function tool.
[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 calling the ChatClientAgent constructor.
new ChatClientAgent(
chatClient,
instructions: "You are a helpful assistant",
tools: [AIFunctionFactory.Create(GetWeather)]);
// When using one of the helper factory methods.
openAIResponseClient.AsAIAgent(
instructions: "You are a helpful assistant",
tools: [AIFunctionFactory.Create(GetWeather)]);
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 · 296 lines · 8 tokens per session scan A 8a452d3f720b
agent-tools is an agent published in the GitHub repository managedcode/dotPilot (25 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 2,119 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to agent-tools, differing in 6 lines, and is treated as a copy.
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