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/agent-as-function-tool.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/agent-as-function-tool)<a href="https://agentmods.dev/agents/managedcode/prompterone/agent-as-function-tool"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/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.
<a href="https://agentmods.dev/agents/managedcode/prompterone/agent-as-function-tool"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/agent-as-function-tool.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 | $0.00018 | $0.00391 |
| Opus 5.5 | $0.00007 | $0.00156 |
| Sonnet 5.5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
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.
What it actually says
Using an agent as a function tool
[!NOTE] The live Learn URL for this old tutorial now redirects to the canonical Function Tools article. Keep this local file only as a compatibility alias for existing references inside the skill catalog.
::: zone pivot="programming-language-csharp"
Use AIAgent.AsAIFunction() when one agent needs a bounded specialist capability without escalating to a full workflow.
Current guidance
- keep the delegated behavior narrow and easy to reason about
- keep the outer agent in control of retries, fallbacks, and policy
- escalate to explicit workflows when control flow, approvals, or fan-out logic become important
AIAgent coordinator = chatClient.AsAIAgent(
instructions: "Delegate weather questions when needed.",
tools: [weatherAgent.AsAIFunction()]);
For current runnable examples, load:
references/official-docs/tutorials/agents/function-tools.mdreferences/official-docs/user-guide/agents/agent-tools.md
::: zone-end ::: zone pivot="programming-language-python"
The live alias now resolves to the broader Function Tools article. Use the canonical live docs for current Python examples.
::: zone-end
Next steps
- Use
references/official-docs/tutorials/agents/agent-as-mcp-tool.mdwhen the delegated capability should surface as an MCP tool instead of a normal function tool. - Escalate to
references/workflows.mdwhen delegation becomes explicit orchestration instead of bounded tool composition.
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 · 50 lines · 18 tokens per session scan A 76ce877f15e0
agent-as-function-tool is an agent published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 391 once invoked, about $0.0001 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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