marketing_roi_dashboard

Dashboard ROI marketing — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — H1 2026 · 5 canaux · ROI 3.2× · Attribution W-shaped · Budget €60k. Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 98 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/marketing-roi-dashboard.md

WHAT IT DOES

What marketing_roi_dashboard does on Mcp Knowledge

AI agents call marketing_roi_dashboard to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`arpuEur`	number	Yes
`channelData`	array	Yes
`companyName`	string	Yes
`periodLabel`	string	Yes
`totalRevenueAttribEur`	number	Yes
`targetAttributionModel`	string	Yes
`currentAttributionModel`	string	Yes
`totalMarketingBudgetEur`	number	Yes

Parameters from the server's own tool schema.

RISK

Why marketing_roi_dashboard is rated Low

The tool appears to retrieve and return a structured marketing ROI dashboard/report based on inputs (channels, attribution model, budget). The description emphasizes 'returns a structured, audited deliverable' and 'dashboard' — language consistent with a read/query operation. There is no indication of writing, executing code, deleting data, or moving money.

From the tool's definition Dashboard ROI marketing — Returns a structured, audited deliverable

Risk signalsAccepts freeform code/query input (channelData[].sql) · High parameter count (16 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs marketing_roi_dashboard safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For marketing_roi_dashboard, this is the rule to start with:

marketing_roi_dashboard Allowed

marketing_roi_dashboard is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "marketing_roi_dashboard": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every marketing_roi_dashboard call is checked against it from then on.

FAQ

Questions about marketing_roi_dashboard

What does the marketing_roi_dashboard tool do? +

What parameters does marketing_roi_dashboard accept? +

marketing_roi_dashboard accepts 9 parameters: async, arpuEur, channelData, companyName, periodLabel, totalRevenueAttribEur, targetAttributionModel, currentAttributionModel, totalMarketingBudgetEur. Required: arpuEur, channelData, companyName, periodLabel, totalRevenueAttribEur, targetAttributionModel, currentAttributionModel, totalMarketingBudgetEur. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on marketing_roi_dashboard? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for marketing_roi_dashboard: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is marketing_roi_dashboard? +

marketing_roi_dashboard is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit marketing_roi_dashboard? +

Yes. Add a rate_limit block to the marketing_roi_dashboard rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block marketing_roi_dashboard completely? +

Set action: deny in the PolicyLayer policy for marketing_roi_dashboard. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides marketing_roi_dashboard? +

marketing_roi_dashboard is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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