ai_governance_pilot
Pilotage de gouvernance IA — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: TalentScope SAS — scoring IA candidats RH (EU AI Act Annex III §4, high-risk). Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/ai-governance-pilot.md
What ai_governance_pilot does on Gapup Mcp
AI agents call ai_governance_pilot to retrieve information from Gapup Mcp 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 | — | |
company | object | Yes | |
aiUseCases | array | Yes | |
targetFrameworks | array | Yes |
Parameters from the server's own tool schema.
Why ai_governance_pilot is rated Low
The tool appears to analyze and return a structured compliance/governance deliverable (audit-style report) rather than executing code, modifying data, or moving money. It is agent-payable (x402 per-call) which introduces a financial micro-transaction element, but the primary action is retrieval of expert analysis. The financial cost is incidental infrastructure, not the tool's functional category.
From the tool's definition 'Pilotage de gouvernance IA' and 'Returns a structured, audited deliverable' — the tool produces a governance/compliance report or advisory output based on a submitted case (EU AI Act Annex III §4, high-risk classification).
Risk signalsHigh parameter count (15 properties)
Attacks that exploit this kind of access
The rule that runs ai_governance_pilot 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 ai_governance_pilot, this is the rule to start with:
ai_governance_pilot 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 Gapup Mcp, apply this rule, and every ai_governance_pilot call is checked against it from then on.
Questions about ai_governance_pilot
Pilotage de gouvernance IA — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: TalentScope SAS — scoring IA candidats RH (EU AI Act Annex III §4, high-risk). Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
ai_governance_pilot accepts 5 parameters: async, focus, company, aiUseCases, targetFrameworks. Required: company, aiUseCases, targetFrameworks. 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 ai_governance_pilot: 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.
ai_governance_pilot 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 ai_governance_pilot 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 ai_governance_pilot. 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.
ai_governance_pilot 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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