recruiting_architect
Architecte du recrutement — Gapup agent-payable C-suite expertise (CHRO). Returns a structured, audited deliverable. Reference case: Stripe France — 12 postes Q3 2026 · sourcing multi-canaux + employer brand + frameworks d'entretien + parcours candidat · time-to-hire -45%. Inputs are validated se...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/recruiting-architect.md
What recruiting_architect does on Gapup Mcp
AI agents use recruiting_architect to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.
| 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 |
focus | string | — | |
roles | array | Yes | |
budget | object | Yes | |
company | object | Yes | |
preferences | object | Yes |
Parameters from the server's own tool schema.
Why recruiting_architect is rated Medium
The tool architcts and designs recruitment processes, frameworks, and candidate journey structures—constituting creation of organizational assets and process modifications. While it reads competitive/market data, its primary output is construction of new recruitment deliverables and frameworks.
From the tool's definition Tool returns 'structured, audited deliverable' and processes documented case fields for recruitment architecture (sourcing, employer branding, interview frameworks, candidate journeys).
Risk signalsHigh parameter count (27 properties)
Attacks that exploit this kind of access
The rule that runs recruiting_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 recruiting_architect, this is the rule to start with:
recruiting_architect stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every recruiting_architect call is checked against it from then on.
Questions about recruiting_architect
Architecte du recrutement — Gapup agent-payable C-suite expertise (CHRO). Returns a structured, audited deliverable. Reference case: Stripe France — 12 postes Q3 2026 · sourcing multi-canaux + employer brand + frameworks d'entretien + parcours candidat · time-to-hire -45%. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
recruiting_architect accepts 6 parameters: async, focus, roles, budget, company, preferences. Required: roles, budget, company, preferences. 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 recruiting_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.
recruiting_architect is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the recruiting_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 recruiting_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.
recruiting_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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