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-mcp-knowledge/recruiting-architect.md
What recruiting_architect does on Mcp Knowledge
AI agents call recruiting_architect 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 |
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 Low
The tool appears to return analytical/planning deliverables (recruiting architecture, sourcing strategies, interview frameworks) rather than executing actions or modifying systems. It functions as an expert advisory tool that produces structured output. No evidence of data modification, execution of code, financial transactions, or destructive operations.
From the tool's definition 'Architecte du recrutement — Gapup agent-payable C-suite expertise (CHRO). Returns a structured, audited deliverable.' — the tool generates a structured recruiting plan/deliverable based on inputs.
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 Mcp Knowledge, 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 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 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 Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
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 Mcp Knowledge 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 Mcp Knowledge. Nothing to install.
recruiting_architect 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 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 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.
More on Mcp Knowledge, and thousands of servers like it.
This server
Across the catalogue