capacity_planning
Planification capacitaire — Gapup agent-payable C-suite expertise (CHRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — 22→48 FTE en 12m · ARR €480k→€1.7M · Plan d'embauches par département. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/capacity-planning.md
What capacity_planning does on Gapup Mcp
AI agents use capacity_planning to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.
| 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 | |
benchmarks | object | — | |
financials | object | Yes | |
constraints | array | — | |
currentTeam | object | Yes | |
hiringBudgetEur | number | — |
Parameters from the server's own tool schema.
Why capacity_planning is rated Critical
The tool is explicitly 'agent-payable' with x402 per-call billing, meaning each invocation incurs a financial charge. Beyond the direct payment obligation, it produces hiring plans and workforce capacity commitments (22→48 FTE) that carry downstream financial obligations. Financial > all other categories under the severity rules.
From the tool's definition Gapup agent-payable C-suite expertise (CHRO) ... x402 per-call ... hiring plan by department (Plan d'embauches par département) ... ARR €480k→€1.7M
Risk signalsHigh parameter count (22 properties)
Attacks that exploit this kind of access
The rule that runs capacity_planning safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For capacity_planning, this is the rule to start with:
Any call to capacity_planning is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every capacity_planning call is checked against it from then on.
Questions about capacity_planning
Planification capacitaire — Gapup agent-payable C-suite expertise (CHRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — 22→48 FTE en 12m · ARR €480k→€1.7M · Plan d'embauches par département. 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.
capacity_planning accepts 7 parameters: async, company, benchmarks, financials, constraints, currentTeam, hiringBudgetEur. Required: company, financials, currentTeam. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for capacity_planning: 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.
capacity_planning is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the capacity_planning 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 capacity_planning. 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.
capacity_planning 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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