rfp_tender_architect

Architecte d'appels d'offres — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: AO DINUM — Plateforme IA souveraine. Inputs are validated server-side — send the documented case fields.

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Medium RISK CLASS
Category Write
Parameters 97 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/rfp-tender-architect.md

What rfp_tender_architect does on Gapup Mcp

AI agents use rfp_tender_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.

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
rfpType string Yes
rfpScope string Yes
budgetRange string Yes
deadlineISO string Yes
clientCompany string Yes
ourPositioning string Yes
compliancePoints array
competitorsLikely array Yes

Parameters from the server's own tool schema.

Why rfp_tender_architect is rated Medium

This tool creates structured RFP/tender documents (Request for Proposals), which is a Write operation — it produces formal procurement documents. While it references a financial/procurement context, it does not directly move money or commit financial obligations; it merely architects the tender artifact.

From the tool's definition "Architecte d'appels d'offres" and "Returns a structured, audited deliverable" — the tool generates and structures RFP/tender documents

Questions about rfp_tender_architect

What does the rfp_tender_architect tool do? +

Architecte d'appels d'offres — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: AO DINUM — Plateforme IA souveraine. 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.

What parameters does rfp_tender_architect accept? +

rfp_tender_architect accepts 9 parameters: async, rfpType, rfpScope, budgetRange, deadlineISO, clientCompany, ourPositioning, compliancePoints, competitorsLikely. Required: rfpType, rfpScope, budgetRange, deadlineISO, clientCompany, ourPositioning, competitorsLikely. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on rfp_tender_architect? +

Register the Gapup MCP server in PolicyLayer and add a rule for rfp_tender_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.

What risk level is rfp_tender_architect? +

rfp_tender_architect is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit rfp_tender_architect? +

Yes. Add a rate_limit block to the rfp_tender_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 rfp_tender_architect completely? +

Set action: deny in the PolicyLayer policy for rfp_tender_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 rfp_tender_architect? +

rfp_tender_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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