sales_enablement_architect
Architecte Sales Enablement — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk — 45 reps · attainment 67% · ramp 5 mois → 3 mois · programme 8 modules · +€2,1M ARR. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/sales-enablement-architect.md
What sales_enablement_architect does on Gapup Mcp
AI agents use sales_enablement_architect 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 |
|---|---|---|---|
gaps | array | Yes | |
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 | |
salesTeam | object | Yes | |
objectives | array | Yes | |
currentEnablement | object | Yes |
Parameters from the server's own tool schema.
Why sales_enablement_architect is rated Critical
This tool is part of a server explicitly described as '271 agent-payable tools' with 'x402 per-call' billing, meaning each invocation incurs a financial charge. The tool itself commits financial obligations per call. The description also frames outcomes in financial terms (ARR impact), reinforcing that this is a pay-per-use financial commitment tool. Financial > all other categories by policy.
From the tool's definition Gapup agent-payable C-suite expertise (CRO) ... x402 per-call ... +€2,1M ARR
Risk signalsHigh parameter count (28 properties)
Attacks that exploit this kind of access
The rule that runs sales_enablement_architect 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 sales_enablement_architect, this is the rule to start with:
Any call to sales_enablement_architect 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 sales_enablement_architect call is checked against it from then on.
Questions about sales_enablement_architect
Architecte Sales Enablement — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk — 45 reps · attainment 67% · ramp 5 mois → 3 mois · programme 8 modules · +€2,1M ARR. 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.
sales_enablement_architect accepts 6 parameters: gaps, async, company, salesTeam, objectives, currentEnablement. Required: gaps, company, salesTeam, objectives, currentEnablement. 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 sales_enablement_architect: 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.
sales_enablement_architect 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 sales_enablement_architect 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 sales_enablement_architect. 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.
sales_enablement_architect 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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