ai_governance_full_report_result

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ai-governance-full-report-result.md

WHAT IT DOES

What ai_governance_full_report_result does on Mcp Knowledge

AI agents call ai_governance_full_report_result 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
`job_id`	string	Yes	The job_id returned by ai_governance_full_report_async (prefix: aigfr_)

Parameters from the server's own tool schema.

RISK

Why ai_governance_full_report_result is rated Low

This tool purely retrieves/polls the result of a previously submitted async job. It reads and returns status and report data without creating, modifying, executing, or deleting anything. No side effects are described.

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

RECOMMENDED RULE

The rule that runs ai_governance_full_report_result 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_result, this is the rule to start with:

ai_governance_full_report_result Allowed

ai_governance_full_report_result is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_governance_full_report_result": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every ai_governance_full_report_result call is checked against it from then on.

FAQ

Questions about ai_governance_full_report_result

What does the ai_governance_full_report_result tool do? +

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 Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does ai_governance_full_report_result accept? +

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.

How do I enforce a policy on ai_governance_full_report_result? +

Register the Mcp Knowledge 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 Mcp Knowledge. Nothing to install.

What risk level is ai_governance_full_report_result? +

ai_governance_full_report_result is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ai_governance_full_report_result? +

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.

How do I block ai_governance_full_report_result completely? +

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.

What MCP server provides ai_governance_full_report_result? +

ai_governance_full_report_result 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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