operational_dashboards

Dashboards opérationnels — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Qonto (5 départements · 12 KPIs) — 4 dashboards live en 3 semaines · time-to-décision -55%. Inputs are validated server-side — send the documented case fields.

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Critical RISK CLASS
Category Financial
Parameters 64 required
Recommended Approval-gatedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/operational-dashboards.md

What operational_dashboards does on Gapup Mcp

AI agents use operational_dashboards to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.

ParameterTypeRequiredDescription
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
company object Yes
techStack array Yes
departments array Yes
kpiRequests array Yes
primaryDashboardTool string

Parameters from the server's own tool schema.

Why operational_dashboards is rated Critical

The server explicitly states '271 agent-payable tools' with 'x402 per-call' payment protocol, meaning each invocation of this tool triggers a financial transaction. While the tool itself generates operational dashboards (a Read/Write activity), the per-call payment obligation makes every use a financial commitment. Financial category takes precedence per severity hierarchy.

From the tool's definition Gapup agent-payable C-suite expertise ... x402 per-call ... Returns a structured, audited deliverable

Risk signalsHigh parameter count (12 properties)

Questions about operational_dashboards

What does the operational_dashboards tool do? +

Dashboards opérationnels — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Qonto (5 départements · 12 KPIs) — 4 dashboards live en 3 semaines · time-to-décision -55%. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Gapup Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does operational_dashboards accept? +

operational_dashboards accepts 6 parameters: async, company, techStack, departments, kpiRequests, primaryDashboardTool. Required: company, techStack, departments, kpiRequests. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on operational_dashboards? +

Register the Gapup MCP server in PolicyLayer and add a rule for operational_dashboards: 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 Gapup Mcp. Nothing to install.

What risk level is operational_dashboards? +

operational_dashboards is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit operational_dashboards? +

Yes. Add a rate_limit block to the operational_dashboards 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 operational_dashboards completely? +

Set action: deny in the PolicyLayer policy for operational_dashboards. 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 operational_dashboards? +

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

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