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Parallel URL content extraction

parallel_fetch

Read-onlyIdempotent

Extract key excerpts or full Markdown from up to 20 URLs in parallel. Specify a natural-language objective to get only the content most relevant to your task.

Instructions

Extract relevant Markdown excerpts or full content from up to 20 known URLs through Parallel Extract API.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "urls": "<urls>"
    },
    "name": "parallel_fetch"
  }
}

Input Schema

Name	Required	Description
`urls`	Yes
`objective`	No	Natural-language goal used to select the most relevant page content.
`session_id`	No
`full_content`	No	Return full Markdown content in addition to excerpts.
`search_queries`	No	Optional keyword queries used with objective to focus excerpts.
`max_age_seconds`	No	Fetch live content when cached content is older than this many seconds.
`max_chars_total`	No	Total excerpt/output character limit; defaults to 25,000.
`timeout_seconds`	No
`max_chars_per_result`	No	Maximum excerpt characters per URL.
`disable_cache_fallback`	No
`full_content_max_chars_per_result`	No	Enable full content and cap its characters per URL.

Output Schema

Name	Required	Description	Default
`usage`	Yes
`errors`	Yes
`results`	Yes
`warnings`	Yes
`extract_id`	Yes
`session_id`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 2, 2026

TDQS

A3.9/5.0

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, which cover the safety profile. The description adds context about the output format (Markdown excerpts/full content) and the underlying API, but does not disclose caching behavior, rate limits, or other operational details that could matter for an agent.

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 a single sentence that is front-loaded with the verb and core purpose. Every word earns its place; there is no filler or repetition of schema details.

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

Completeness3/5

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

With 11 parameters and an output schema, this is a moderately complex tool. The description covers the core use case but omits important behaviors such as caching, objective-based relevance filtering, and output limits. Annotations and output schema mitigate some gaps, but the description alone is thin for such a parameter-rich tool.

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 64%, so the schema handles most parameter explanations. The description mentions 'Markdown excerpts or full content' which loosely maps to full_content and related limits, but it does not elaborate on key parameters like objective, session_id, timeout_seconds, or disable_cache_fallback, nor compensate for the undocumented params.

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 uses a specific verb 'Extract' with a clear resource ('Markdown excerpts or full content') and scope ('from up to 20 known URLs'). The phrase 'known URLs' clearly contrasts with the sibling tool parallel_search, which presumably searches for URLs rather than fetching from provided ones.

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

Usage Guidelines4/5

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

The description clearly implies the tool is for fetching content from URLs the user already knows, giving contextual use case. It does not explicitly mention alternatives or when not to use it, but the 'known URLs' phrasing provides enough guidance to differentiate from search-based tools.

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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