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rollounden

rapid-indexer-mcp

by rollounden

Create AI traffic campaign

create_traffic_campaign

Send configurable AI-driven human-like visitors to any URL with geo, device, and behavior settings. Create a campaign to increase page visits and engagement.

Instructions

Send AI-driven, human-like visitors to a URL (geo, device, referrer and on-page behaviour are configurable). SPENDS CREDITS immediately: see get_pricing (credits per 1,000 visitors). visitors/days must not exceed 1,000 per day. Confirm with the user before creating. Returns the task id; poll get_task for status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoSpread the visitors over this many days.
linkYesTarget page the visitors should land on.
titleNoCampaign name shown in the dashboard.
deviceNomixed
countryNoVisitor geo. WW = worldwide mix.WW
referrerNoApparent traffic source, e.g. "facebook.com" or a full URL. Empty = direct.
visitorsYesTotal visitors to send (min 30, max 1,000 per scheduled day).
delay_maxNoMax seconds on page.
delay_minNoMin seconds on page.
pages_maxNoMax internal pages per visit.
pages_minNoMin internal pages per visit.
ai_enabledNoHuman-like AI browsing (scrolling, reading, internal clicks).
bounce_rateNoPercent of single-page visits.
click_linksNoPaths or CSS selectors the visitor may click, e.g. ["/pricing", "button.cta"].
click_chanceNoPercent of visitors who click one of click_links.
video_chanceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
statusYes
messageYes
task_idYes
ctr_modeNo
visitorsYes
campaign_idYes
dashboard_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior5/5

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

Discloses non-obvious side effects not present in annotations: immediate credit consumption, a 1,000/day pacing cap, and the async return of a task id requiring polling. This goes well beyond the structured hints (readOnly=false, idempotent=false) and gives the agent the cost and confirmation guardrails it needs.

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?

Five short sentences, each adding distinct value: main action, cost warning, pacing limit, user confirmation, and follow-up polling. The most important information is front-loaded and there is no filler.

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?

Given 16 parameters, the description plus a rich schema covers the full create-and-monitor workflow, including cost, limit, confirmation, and status retrieval. It is complete enough for an agent to call the tool safely and know what to do next; the only minor gap is not mentioning the CTR-campaign alternative.

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 88%, so the schema carries most parameter meaning; the description adds little beyond naming configurable dimensions and restating the daily cap already encoded in visitors' description. It does not clarify the one undocumented parameter (video_chance), so a baseline 3 is appropriate.

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

Purpose4/5

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

Description opens with a concrete action ('Send AI-driven, human-like visitors to a URL') and names configurable dimensions (geo, device, referrer, on-page behavior). It clearly identifies the resource and outcome, though it does not explicitly contrast with sibling create_ctr_campaign, so it stops short of full sibling differentiation.

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?

Provides strong operational context: credits are spent immediately, check get_pricing, confirm with the user before creating, and poll get_task for status. It does not explicitly state when to choose this over create_ctr_campaign, but the workflow guidance is clear enough for an agent to act.

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