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.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/operational-dashboards.md
What operational_dashboards does on Mcp Knowledge
AI agents call operational_dashboards 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 |
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 Low
The tool appears to generate operational dashboard deliverables (structured reports/analytics) for C-suite (COO) use. It returns structured, audited output based on validated inputs. There is no clear indication of write, execute, destructive, or financial operations — it reads/computes and returns a structured report.
From the tool's definition 'Dashboards opérationnels' and 'Returns a structured, audited deliverable' — the tool generates and returns dashboard/reporting content based on inputs
Risk signalsHigh parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs operational_dashboards 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 operational_dashboards, this is the rule to start with:
operational_dashboards is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every operational_dashboards call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
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.
Register the Mcp Knowledge 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 Mcp Knowledge. Nothing to install.
operational_dashboards is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
operational_dashboards 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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