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...

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 64 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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)

Questions about recruiting_architect

What does the recruiting_architect tool do? +

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.

What parameters does recruiting_architect accept? +

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.

How do I enforce a policy on recruiting_architect? +

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.

What risk level is recruiting_architect? +

recruiting_architect is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit recruiting_architect? +

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.

How do I block recruiting_architect completely? +

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.

What MCP server provides recruiting_architect? +

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.

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