πŸ“„ File detail

tools/WebFetchTool/prompt.ts

🧩 .tsπŸ“ 47 linesπŸ’Ύ 2,200 bytesπŸ“ text
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🎯 Use case

This module implements the β€œWebFetchTool” tool (Web Fetch) β€” something the model can call at runtime alongside other agent tools. On the API surface it exposes WEB_FETCH_TOOL_NAME, DESCRIPTION, and makeSecondaryModelPrompt β€” mainly types, interfaces, or factory objects.

Generated from folder role, exports, dependency roots, and inline comments β€” not hand-reviewed for every path.

🧠 Inline summary

export const WEB_FETCH_TOOL_NAME = 'WebFetch' export const DESCRIPTION = ` - Fetches content from a specified URL and processes it using an AI model - Takes a URL and a prompt as input

πŸ“€ Exports (heuristic)

  • WEB_FETCH_TOOL_NAME
  • DESCRIPTION
  • makeSecondaryModelPrompt

πŸ–₯️ Source preview

export const WEB_FETCH_TOOL_NAME = 'WebFetch'

export const DESCRIPTION = `
- Fetches content from a specified URL and processes it using an AI model
- Takes a URL and a prompt as input
- Fetches the URL content, converts HTML to markdown
- Processes the content with the prompt using a small, fast model
- Returns the model's response about the content
- Use this tool when you need to retrieve and analyze web content

Usage notes:
  - IMPORTANT: If an MCP-provided web fetch tool is available, prefer using that tool instead of this one, as it may have fewer restrictions.
  - The URL must be a fully-formed valid URL
  - HTTP URLs will be automatically upgraded to HTTPS
  - The prompt should describe what information you want to extract from the page
  - This tool is read-only and does not modify any files
  - Results may be summarized if the content is very large
  - Includes a self-cleaning 15-minute cache for faster responses when repeatedly accessing the same URL
  - When a URL redirects to a different host, the tool will inform you and provide the redirect URL in a special format. You should then make a new WebFetch request with the redirect URL to fetch the content.
  - For GitHub URLs, prefer using the gh CLI via Bash instead (e.g., gh pr view, gh issue view, gh api).
`

export function makeSecondaryModelPrompt(
  markdownContent: string,
  prompt: string,
  isPreapprovedDomain: boolean,
): string {
  const guidelines = isPreapprovedDomain
    ? `Provide a concise response based on the content above. Include relevant details, code examples, and documentation excerpts as needed.`
    : `Provide a concise response based only on the content above. In your response:
 - Enforce a strict 125-character maximum for quotes from any source document. Open Source Software is ok as long as we respect the license.
 - Use quotation marks for exact language from articles; any language outside of the quotation should never be word-for-word the same.
 - You are not a lawyer and never comment on the legality of your own prompts and responses.
 - Never produce or reproduce exact song lyrics.`

  return `
Web page content:
---
${markdownContent}
---

${prompt}

${guidelines}
`
}