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.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/rfp-tender-architect.md
What rfp_tender_architect does on Mcp Knowledge
AI agents use rfp_tender_architect to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge 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 |
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
The tool creates or structures RFP (Request for Proposal) and tender documentation—reversible business artifacts. It does not delete data (not Destructive), does not execute arbitrary code (not Execute), and does not move money (not Financial). While it generates audited deliverables that could influence procurement decisions, the core action is authoring/structuring documents (Write).
From the tool's definition Tool name and description indicate it 'architecte d'appels d'offres' (architects RFPs/tenders) and 'Returns a structured, audited deliverable', suggesting creation or generation of documents/artifacts that modify business records or procurement systems.
Attacks that exploit this kind of access
The rule that runs rfp_tender_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 rfp_tender_architect, this is the rule to start with:
rfp_tender_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 Mcp Knowledge, apply this rule, and every rfp_tender_architect call is checked against it from then on.
Questions about 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. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
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.
Register the Mcp Knowledge 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 Mcp Knowledge. Nothing to install.
rfp_tender_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 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.
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.
rfp_tender_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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