ai_governance_full_report_async
Audit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque (unacceptable/high_risk/limited_risk/minimal_risk/gpai) sur la base de l'Annexe III et de l'Article 5. Produit : (1) classification tier + justification + arti...
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What ai_governance_full_report_async does on Mcp Knowledge
AI agents call ai_governance_full_report_async 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 |
|---|---|---|---|
company_size | string | — | Taille entreprise : startup (≤50), smb (51-250), mid (251-1000), large (1001-5000), enterprise (>5000) |
data_sources | array | — | Sources de données utilisées par le système IA |
affected_persons | array | — | Catégories de personnes affectées par les décisions du système (ex: candidats, employés, clients) |
geographic_scope | array | — | Zones géographiques de déploiement (ex: 'EU', 'France', 'Global') |
intended_purpose | string | Yes | Finalité prévue du système IA : à quoi sert-il concrètement |
deployment_context | string | — | Contexte de déploiement : interne (usage employés), public, B2B, B2C |
ai_system_description | string | Yes | Description détaillée du système IA : ce qu'il fait, comment il fonctionne, quelles décisions il prend |
Parameters from the server's own tool schema.
Why ai_governance_full_report_async is rated Low
This tool performs an audit and compliance analysis — it reads, classifies, and reports on an AI system's regulatory posture under the EU AI Act. It produces reports, checklists, and recommendations but does not create, modify, delete, or execute anything. The async nature (returning a job_id for polling) is an implementation detail and does not change the read/analysis nature of the operation.
From the tool's definition Audit EU AI Act complet [...] Classifie le système IA [...] Produit : (1) classification tier + justification [...] (2) checklist conformité [...] (3) gaps documentation [...] Retourne immédiatement (<300ms) un job_id
Attacks that exploit this kind of access
The rule that runs ai_governance_full_report_async 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 ai_governance_full_report_async, this is the rule to start with:
ai_governance_full_report_async 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 ai_governance_full_report_async call is checked against it from then on.
Questions about ai_governance_full_report_async
Audit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque (unacceptable/high_risk/limited_risk/minimal_risk/gpai) sur la base de l'Annexe III et de l'Article 5. Produit : (1) classification tier + justification + articles applicables, (2) checklist conformité Articles 9-15 + 50 + 53-55, (3) gaps documentation Annexe IV, (4) mapping ISO 42001, (5) deadlines EU AI Act 2025-2029, (6) estimation coût et effort, (7) top 10 recommandations P0/P1/P2. Retourne immédiatement (<300ms) un job_id. Poller avec ai_governance_full_report_result(job_id) après eta_seconds (~90s). Cache 7 jours pour inputs identiques. Async tool — register a webhook via webhooks_manage(register, url, [job.completed]) to receive callbacks instead of polling. Faster + lighter. DISCLAIMER : non substitutif à un avis juridique professionnel. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
ai_governance_full_report_async accepts 7 parameters: company_size, data_sources, affected_persons, geographic_scope, intended_purpose, deployment_context, ai_system_description. Required: intended_purpose, ai_system_description. 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 ai_governance_full_report_async: 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.
ai_governance_full_report_async 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_full_report_async 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_full_report_async. 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_full_report_async 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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