Skip to main content
Glama

fetch_multiple

Retrieve content from multiple URLs in parallel for bulk research or comparison. Optionally render JavaScript to capture dynamic content.

Instructions

Fetch multiple URLs in parallel and return an array of {url, content, error} objects. Useful for bulk research or comparison tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesArray of URLs to fetch (max 20)
render_jsNoWhether to render JavaScript before extracting content. Default: true
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavioral traits. It mentions parallel execution and per-URL error handling via the return structure ({url, content, error}). However, it does not mention rate limits, timeouts, auth requirements, or what happens if all URLs fail. The provided information is adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loading the core action and return format, and then adding a usage hint. Every sentence provides value, and there is no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 2 parameters, no output schema, and no nested objects. The description covers the core purpose, parallel execution, return structure, and a usage context. It is largely complete for a tool of this complexity, though it could mention result ordering or URL validation behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (both parameters have descriptions in the input schema). The tool description adds no additional parameter semantics beyond what the schema already provides, so the baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Fetch multiple URLs in parallel'), the resource (URLs), and the return format (array of objects). It distinguishes from sibling tools like fetch_url (single URL) and screenshot (visual capture) by specifying parallel bulk fetching.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes 'Useful for bulk research or comparison tasks,' which implies a usage context but does not explicitly state when to use this tool versus alternatives (e.g., fetch_url for single URLs, screenshot for images). No exclusions or prerequisites are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/patrikmichi/crawlee-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server