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Web Bulk Fetch

web_bulk_fetch
Read-only

Fetch multiple URLs in parallel with anti-detection strategies. Use after web search to retrieve top results in a single request, avoiding IP blocks and user-agent detection.

Instructions

Fetch multiple URLs in parallel with anti-detection capabilities. Much faster than calling web_fetch multiple times.

Use this after web_search to fetch the top 3-4 results in a single call instead of making separate web_fetch calls.

Args:

  • urls (string[], required): Array of URLs to fetch (max 10). Each must include https:// or http://.

  • strategy (string, optional): "auto", "direct", or "jina". Applied to all URLs. Default: "auto".

Returns: Combined results for all URLs, each with page content, HTTP status, strategy used, and content size. Failed URLs are clearly marked.

Example: urls=["https://docs.python.org/3/library/asyncio.html", "https://nodejs.org/en/docs/guides/event-loop"]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesArray of URLs to fetch in parallel (max 10)
strategyNoFetch strategy applied to all URLs: 'auto' (default), 'direct', or 'jina'auto
Behavior5/5

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

Beyond the annotations (readOnlyHint, openWorldHint), the description adds meaningful behavioral details: fetches in parallel, uses anti-detection, returns combined results with status, strategy used, and content size, and clearly marks failed URLs. This gives the agent a solid mental model of execution and output.

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

Conciseness4/5

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

The description is well-structured with clear sections for arguments, returns, and an example. It is somewhat verbose but all content earns its place—the example is useful, and the returns section compensates for the missing output schema. Tight enough for its informative value.

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

Completeness5/5

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

Given the tool's moderate complexity (parallel fetching, strategy selection) and rich annotations, the description is fully self-sufficient. It provides return format, failure behavior, usage context, and an example, leaving no critical gap for an agent to invoke the tool correctly.

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?

The input schema already provides full descriptions for both parameters (100% coverage), including max items and enum options. The description adds an example and clarifies that URLs must include http(s):// but largely repeats what the schema states, so it does not materially enhance parameter understanding beyond the schema.

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 tool's function: 'Fetch multiple URLs in parallel' with 'anti-detection capabilities.' It distinguishes itself from sibling web_fetch by emphasizing parallelism and speed, making its purpose unmistakable.

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

Usage Guidelines5/5

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

Explicitly provides usage context: 'Use this after web_search to fetch the top 3-4 results in a single call instead of making separate web_fetch calls.' This directly names the alternative (web_fetch) and gives a concrete scenario, guiding the agent precisely when to choose this tool.

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

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