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parallel

Send multiple different HTTP requests concurrently with options for staggering, repeating, and response pattern matching.

Instructions

Send multiple different HTTP requests simultaneously. See rqwstr_docs(topic="parallel") for sync/stagger/repeat patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
grepNoRegex to search response bodies
syncNoBarrier sync: wait for all goroutines before firing (default false)
repeatNoFire the same batch this many times (default 1). For sustained throughput attacks like cache poisoning.
requestsYesList of requests to send simultaneously
grep_firstNoStop repeating on first grep match and return that wave's results
stagger_msNoDelay in ms between firing each request (staggered timing mode)
timeout_msNoPer-request timeout in ms (default 30000)
session_setupNoChain-like steps to run before each wave. Fetches CSRF tokens and session state. Extracted variables substitute via double-brace syntax. Cookies auto-forward.
repeat_delay_msNoDelay in ms between repeat waves (default 0 = immediate)
grep_ignore_caseNoCase insensitive grep
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only mentions simultaneous sending, ignoring key behaviors like sync, staggering, repeating, grep filtering, and session setup. The description is insufficient for an AI agent to understand the tool's full capabilities.

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 extremely concise (one sentence plus a reference). It is front-loaded with the core purpose, but could include more information without being verbose.

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

Completeness2/5

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

Given the tool's complexity (10 parameters, no output schema, no annotations), the description is very incomplete. It does not explain return values, error handling, or how results are aggregated. The reference to external docs helps but is not sufficient for an AI agent.

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 coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 core function: sending multiple different HTTP requests simultaneously. This distinguishes it from sibling tools like 'send' (single request) and 'intruder' (brute-forcing). The reference to docs for patterns adds clarity.

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 does not explicitly state when to use this tool versus alternatives. It only points to docs for sync/stagger/repeat patterns, but lacks direct guidance on usage boundaries or exclusions.

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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