Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/langchain-ai/langgraphjs/toolsgit clone --depth 1 https://github.com/langchain-ai/langgraphjsWhat 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 | $0.00000 | $0.02520 |
| Opus 5 | $0.00000 | $0.01260 |
| Sonnet 5 | $0.00000 | $0.00504 |
| Haiku 4.5 | $0.00000 | $0.00252 |
Grade A, and why
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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tools
Tools are a way to encapsulate a function and its input schema in a way that can be passed to a chat model that supports tool calling. This allows the model to request the execution of this function with specific inputs.
You can either define your own tools or use prebuilt integrations that LangChain provides.
Define tools
You create tools using the tool function:
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { initChatModel } from "langchain/chat_models/universal";
// highlight-next-line
import { tool } from "@langchain/core/tools";
import { z } from "zod";
const multiply = tool(
async (input: { a: number; b: number }) => {
return input.a * input.b;
},
{
name: "multiply",
schema: z.object({
a: z.number().describe("First operand"),
b: z.number().describe("Second operand"),
}),
description: "Multiply two numbers.",
}
);
const llm = await initChatModel("anthropic:claude-3-7-sonnet-latest");
const agent = createReactAgent({
llm,
tools: [multiply],
});
For additional customization, refer to the custom tools guide.
Hide arguments from the model
Some tools require runtime-only arguments (e.g., user ID or session context) that should not be controllable by the model.
You can put these arguments in the state or config of the agent, and access
this information inside the tool:
import { z } from "zod";
import { tool, type ToolRuntime } from "@langchain/core/tools";
// highlight-next-line
import { MessagesAnnotation } from "@langchain/langgraph";
const myTool = tool(
async (
input: {
// This will be populated by an LLM
toolArg: string;
},
// access runtime values from the second argument
// highlight-next-line
runtime: ToolRuntime<typeof MessagesAnnotation.State>
) => {
// Fetch the current agent state
// highlight-next-line
const state = runtime.state;
doSomethingWithState(state.messages);
doSomethingWithConfig(runtime.config);
// ...
},
{
name: "myTool",
schema: z.object({
myToolArg: z.number().describe("Tool arg"),
}),
description: "My tool.",
}
);
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.
- yesterday First seen · 340 lines · 0 tokens per session scan A 6bf6a0e2da5b
tools is an agent published in the GitHub repository langchain-ai/langgraphjs (3,242 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,520 tokens. 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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