webmcp-register-tool
Implement the WebMCP Imperative API — register tools via navigator.modelContext.registerTool() with proper schemas, execute callbacks, and lifecycle management. Use when building dynamic tool registration in JavaScript.
Best use case
webmcp-register-tool is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement the WebMCP Imperative API — register tools via navigator.modelContext.registerTool() with proper schemas, execute callbacks, and lifecycle management. Use when building dynamic tool registration in JavaScript.
Teams using webmcp-register-tool should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/webmcp-register-tool/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How webmcp-register-tool Compares
| Feature / Agent | webmcp-register-tool | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement the WebMCP Imperative API — register tools via navigator.modelContext.registerTool() with proper schemas, execute callbacks, and lifecycle management. Use when building dynamic tool registration in JavaScript.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# WebMCP Tool Registration (Imperative API)
## Before writing code
**Fetch live docs**:
1. Fetch `https://webmachinelearning.github.io/webmcp/` for the latest `registerTool` method signature and parameters
2. Web-search `webmcp navigator.modelContext registerTool specification` for the full API reference
3. Web-search `site:developer.chrome.com webmcp registerTool` for Chrome-specific guidance
4. Web-search `site:github.com mcp-b registerTool` for polyfill-compatible registration patterns
## Conceptual Architecture
### What registerTool Does
`navigator.modelContext.registerTool()` is the core imperative method for exposing a tool to AI agents. Each registered tool becomes discoverable and invocable by any agent integrated with the browser.
### Tool Definition Object
A tool object passed to `registerTool()` has these fields:
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `name` | string | Yes | Unique tool identifier (e.g., `"addToCart"`) |
| `description` | string | Yes | Natural-language description for the agent |
| `inputSchema` | object | Yes | JSON Schema defining accepted parameters |
| `execute` | async function | Yes | Callback `(input, client) => Promise<result>` |
| `annotations` | object | No | Safety hints (`readOnlyHint`, `destructiveHint`, `idempotentHint`) |
### Execute Callback
The `execute(input, client)` callback:
- **input** — Validated against the `inputSchema`, already parsed as a JavaScript object
- **client** — A `ModelContextClient` object providing `requestUserInteraction()` for human-in-the-loop flows
- **Returns** — A Promise resolving to a JSON-serializable result object
### Tool Lifecycle
1. **Register** — `navigator.modelContext.registerTool(tool)` makes the tool discoverable
2. **Discovery** — Agent queries available tools and reads names/descriptions/schemas
3. **Invocation** — Agent calls a tool; browser validates input against schema and calls `execute`
4. **Execution** — Tool logic runs in the page's context (can use fetch, DOM APIs, session cookies)
5. **Result** — Tool returns JSON result to the agent
6. **Unregister** — `navigator.modelContext.unregisterTool(name)` removes the tool
### Registration Patterns
**Simple read-only tool:**
```js
navigator.modelContext.registerTool({
name: "getProductInfo",
description: "Get details about a product by ID",
inputSchema: {
type: "object",
properties: { productId: { type: "string" } },
required: ["productId"]
},
annotations: { readOnlyHint: true },
async execute(input) {
const res = await fetch(`/api/products/${input.productId}`);
return await res.json();
}
});
```
**Transactional tool with user confirmation:**
```js
navigator.modelContext.registerTool({
name: "placeOrder",
description: "Place the current order and charge the saved payment method",
inputSchema: { type: "object", properties: {}, required: [] },
annotations: { destructiveHint: true },
async execute(input, client) {
const confirmed = await client.requestUserInteraction((resolve) => {
showConfirmDialog("Confirm order?", resolve);
});
if (!confirmed) return { status: "canceled" };
const res = await fetch("/api/orders", { method: "POST" });
return await res.json();
}
});
```
### Naming Best Practices
- Use camelCase for tool names (`searchProducts`, not `search-products`)
- Be specific and descriptive (`addToCart` not `add`)
- Group by domain: `cart.add`, `cart.remove` or `addToCart`, `removeFromCart`
- Avoid generic names that could conflict across sites
### Description Best Practices
- Write descriptions for the AI agent, not the end user
- Be precise about what the tool does, its side effects, and what it returns
- Mention constraints: "Requires the user to be logged in" or "Only available for items in stock"
- Avoid jargon the agent may not understand
### Error Handling
Tools should handle errors gracefully:
- Return structured error objects rather than throwing exceptions
- Include error codes and human-readable messages
- Distinguish between user errors (bad input) and system errors (server failure)
### Dynamic Registration
Tools can be registered and unregistered dynamically based on page state:
- Register cart tools only when the cart page is active
- Register checkout tools only when the user is authenticated
- Unregister tools when navigating away from relevant pages
- Use `clearContext()` on page transitions in SPAs
Fetch the specification for exact method signatures, return types, and any new fields before implementing.Related Skills
webmcp-user-interaction
Implement human-in-the-loop flows with requestUserInteraction() — confirmation dialogs, approval workflows, and user prompts during tool execution. Use when building tools that require user consent before performing actions.
webmcp-tool-schemas
Design JSON Schemas for WebMCP tool inputs and outputs — proper types, constraints, nested objects, and agent-friendly documentation. Use when defining or refining tool schemas for agent consumption.
webmcp-tool-annotations
Implement WebMCP tool annotations — readOnlyHint, destructiveHint, idempotentHint safety hints that inform browser permission prompts and agent behavior. Use when marking tools with appropriate safety metadata.
webmcp-testing
Test WebMCP tools with AI agents — Chrome DevTools integration, agent testing workflows, tool discovery verification, and end-to-end commerce flow testing. Use when validating that tools work correctly with real AI agents.
webmcp-setup
Set up a WebMCP project — enable Chrome flags, install MCP-B polyfill, scaffold tool registration, and configure development environment. Use when starting a new WebMCP-enabled website from scratch.
webmcp-security
Implement WebMCP security best practices — permission model, data minimization, honest descriptions, input validation, fingerprinting prevention, and fraud mitigation. Use when auditing or hardening WebMCP tool implementations.
webmcp-polyfill
Set up and use the MCP-B polyfill — vanilla JS and React packages that implement navigator.modelContext for browsers without native WebMCP. Use when developing for browsers that don't yet support WebMCP natively.
webmcp-mcp-bridge
Integrate WebMCP client-side tools with backend MCP servers and UCP endpoints — bridge browser-based agent interactions with server-to-server protocols. Use when connecting front-end WebMCP to existing backend API infrastructure.
webmcp-context-provider
Implement the WebMCP provideContext API — bulk tool registration, contextual metadata, page state sharing, and dynamic context updates. Use when providing rich context and multiple tools to agents simultaneously.
webmcp-commerce-tools
Implement commerce-specific WebMCP tools — product search, cart management, checkout, returns, subscriptions, and support. Use when building agentic shopping experiences on e-commerce websites.
webmcp-authentication
Implement WebMCP authentication patterns — browser session inheritance, cookie-based auth, role-gated tool registration, and conditional tool exposure. Use when managing which tools are available based on user authentication state.
nlweb-tools-framework
Design and implement NLWeb tools — the per-Schema.org-type handlers that turn a query into a specialized response (search, item_details, compare_items, ensemble, recipe_substitution, accompaniment, conversation_search, etc.). Covers `tools.xml`, the ToolSelector router, builtin handlers in `methods/`, writing a custom tool with a `<returnStruc>` contract, and disabling tool selection for raw retrieval. Use when extending NLWeb beyond the default query → results flow.