ai_governance_full_report_result
Poll the result of an ai_governance_full_report_async job. Returns status=pending while running, status=completed with the full EU AI Act governance audit report once done (risk_tier, compliance checklist Articles 9-15/50/53-55, Annex IV documentation gaps, ISO 42001 alignment, deadlines 2025-202...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/ai-governance-full-report-result.md
What ai_governance_full_report_result does on Gapup Mcp
AI agents call ai_governance_full_report_result 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 |
|---|---|---|---|
job_id | string | Yes | The job_id returned by ai_governance_full_report_async (prefix: aigfr_) |
Parameters from the server's own tool schema.
Why ai_governance_full_report_result is rated Low
This tool is a polling/read operation that retrieves the result of a previously submitted async job. It performs no writes, executes no code, and has no side effects — it simply queries and returns the status and output of an already-running job. The data returned (compliance reports, scores, recommendations) is purely informational.
From the tool's definition Poll the result of an ai_governance_full_report_async job. Returns status=pending while running, status=completed with the full EU AI Act governance audit report once done
Attacks that exploit this kind of access
The rule that runs ai_governance_full_report_result 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_full_report_result, this is the rule to start with:
ai_governance_full_report_result 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_full_report_result call is checked against it from then on.
Questions about ai_governance_full_report_result
Poll the result of an ai_governance_full_report_async job. Returns status=pending while running, status=completed with the full EU AI Act governance audit report once done (risk_tier, compliance checklist Articles 9-15/50/53-55, Annex IV documentation gaps, ISO 42001 alignment, deadlines 2025-2029, cost estimate, top-10 recommendations P0/P1/P2, compliance_score), status=failed on error, or status=not_found if the job_id is unknown or expired (TTL 24h). Call this after the eta_seconds hint returned by ai_governance_full_report_async (~90s). It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
ai_governance_full_report_result accepts 1 parameter: job_id. Required: job_id. 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_full_report_result: 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_full_report_result 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_result 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_result. 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_result 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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