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CSOAI-ORG

EU AI Act Compliance MCP

quick_scan

Classify an AI system's risk under the EU AI Act and receive top compliance obligations instantly from a single description.

Instructions

One-sentence AI system description -> instant EU AI Act risk classification and top obligations. No API key required.

Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need to assess, audit, or verify compliance requirements. Ideal for gap analysis, readiness checks, and generating compliance documentation.

When NOT to use: Do not use as a substitute for qualified legal counsel. This tool provides technical compliance guidance, not legal advice. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYes

Implementation Reference

  • The quick_scan tool function that executes the core logic: takes a one-sentence AI system description, checks against prohibited practices (Article 5), high-risk areas (Annex III), and limited-risk triggers, then returns risk classification, matched areas, top obligations, deadline, and penalty range. Includes rate limiting, idempotency, and no side effects.
    def quick_scan(description: str) -> dict:
        """One-sentence AI system description -> instant EU AI Act risk classification and top obligations. No API key required.
    
        Behavior:
            This tool is read-only and stateless — it produces analysis output
            without modifying any external systems, databases, or files.
            Safe to call repeatedly with identical inputs (idempotent).
            Free tier: 10/day rate limit. Pro tier: unlimited.
            No authentication required for basic usage.
    
        When to use:
            Use this tool when you need to assess, audit, or verify compliance
            requirements. Ideal for gap analysis, readiness checks, and generating
            compliance documentation.
    
        When NOT to use:
            Do not use as a substitute for qualified legal counsel. This tool
            provides technical compliance guidance, not legal advice.
        Behavioral Transparency:
            - Side Effects: This tool is read-only and produces no side effects. It does not modify
              any external state, databases, or files. All output is computed in-memory and returned
              directly to the caller.
            - Authentication: No authentication required for basic usage. Pro/Enterprise tiers
              require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
            - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
              included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
            - Error Handling: Returns structured error objects with 'error' key on failure.
              Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
            - Idempotency: Fully idempotent — calling with the same inputs always produces the
              same output. Safe to retry on timeout or transient failure.
            - Data Privacy: No input data is stored, logged, or transmitted to external services.
              All processing happens locally within the MCP server process.
        """
        limit_err = _check_rate_limit("quick_scan_anonymous")
        if limit_err:
            return {"error": "rate_limited", "message": limit_err}
    
        risk_level = "minimal"
        matched_areas = []
        top_obligations = []
        penalty_range = "None for minimal risk systems"
        deadline = "No mandatory deadline for minimal risk"
    
        # Check prohibited (Article 5)
        for practice in PROHIBITED_PRACTICES:
            matches = _match_keywords(description, practice["keywords"])
            if matches:
                matched_areas.append(f"{practice['article']}: {practice['description']}")
    
        if matched_areas:
            risk_level = "prohibited"
            top_obligations = [
                "CEASE deployment immediately — system is banned under Article 5",
                "Seek legal counsel on whether any narrow exceptions apply",
                "Report to national supervisory authority if already deployed",
            ]
            penalty_range = "Up to EUR 35,000,000 or 7% of global annual turnover"
            deadline = "2 February 2025 (ALREADY IN EFFECT)"
            return {
                "risk_level": risk_level,
                "matched_areas": matched_areas,
                "top_3_obligations": top_obligations,
                "deadline": deadline,
                "penalty_range": penalty_range,
                "regulation": "Regulation (EU) 2024/1689",
                "next_step": "Use classify_ai_risk for detailed analysis or check_compliance for full audit",
                "meok_labs": "https://meok.ai",
            }
    
        # Check high-risk (Annex III)
        for area in ANNEX_III_HIGH_RISK:
            matches = _match_keywords(description, area["keywords"])
            if matches:
                matched_areas.append(f"Annex III Area {area['area']}: {area['title']}")
    
        if matched_areas:
            risk_level = "high-risk"
            top_obligations = [
                "Establish risk management system (Article 9) and data governance (Article 10)",
                "Create Annex IV technical documentation and implement logging (Articles 11-12)",
                "Ensure human oversight, transparency, and accuracy testing (Articles 13-15)",
            ]
            penalty_range = "Up to EUR 15,000,000 or 3% of global annual turnover"
            deadline = "2 August 2026"
        else:
            # Check limited risk
            limited_keywords = [
                "chatbot", "chat bot", "conversational ai", "virtual assistant",
                "deepfake", "synthetic media", "generated image", "generated video",
                "generated text", "generative ai", "foundation model", "large language model", "llm",
            ]
            limited_matches = _match_keywords(description, limited_keywords)
            if limited_matches:
                risk_level = "limited-risk"
                matched_areas = [f"Transparency trigger: {kw}" for kw in limited_matches]
                top_obligations = [
                    "Inform users they are interacting with AI (Article 50)",
                    "Label AI-generated content as artificially generated (Article 50)",
                    "GPAI providers: comply with Articles 51-56 (if applicable)",
                ]
                penalty_range = "Up to EUR 15,000,000 or 3% of global annual turnover"
                deadline = "2 August 2025 (GPAI rules)"
            else:
                top_obligations = [
                    "No mandatory obligations — voluntary codes of conduct encouraged (Article 95)",
                    "Monitor EU AI Office for delegated acts that may reclassify your system",
                    "Consider voluntary adoption of high-risk requirements for trust",
                ]
    
        return {
            "risk_level": risk_level,
            "matched_areas": matched_areas,
            "top_3_obligations": top_obligations,
            "deadline": deadline,
            "penalty_range": penalty_range,
            "regulation": "Regulation (EU) 2024/1689",
            "next_step": "Use classify_ai_risk for detailed analysis or check_compliance for full audit",
            "meok_labs": "https://meok.ai",
        }
  • server.py:444-446 (registration)
    Registration decorator @mcp.tool() that registers quick_scan as an MCP tool on the FastMCP server.
    @mcp.tool()
    def quick_scan(description: str) -> dict:
        """One-sentence AI system description -> instant EU AI Act risk classification and top obligations. No API key required.
  • Helper function _match_keywords used by quick_scan to perform case-insensitive keyword matching against the description text.
    def _match_keywords(text: str, keywords: list[str]) -> list[str]:
        """Return matched keywords found in text (case-insensitive)."""
        text_lower = text.lower()
        return [kw for kw in keywords if kw.lower() in text_lower]
  • Input schema: takes a single 'description' parameter (string). Output schema: returns a dict with risk_level, matched_areas, top_3_obligations, deadline, penalty_range, regulation, next_step, meok_labs keys.
    def quick_scan(description: str) -> dict:
        """One-sentence AI system description -> instant EU AI Act risk classification and top obligations. No API key required.
    
        Behavior:
            This tool is read-only and stateless — it produces analysis output
            without modifying any external systems, databases, or files.
            Safe to call repeatedly with identical inputs (idempotent).
            Free tier: 10/day rate limit. Pro tier: unlimited.
            No authentication required for basic usage.
    
        When to use:
            Use this tool when you need to assess, audit, or verify compliance
            requirements. Ideal for gap analysis, readiness checks, and generating
            compliance documentation.
    
        When NOT to use:
            Do not use as a substitute for qualified legal counsel. This tool
            provides technical compliance guidance, not legal advice.
        Behavioral Transparency:
            - Side Effects: This tool is read-only and produces no side effects. It does not modify
              any external state, databases, or files. All output is computed in-memory and returned
              directly to the caller.
            - Authentication: No authentication required for basic usage. Pro/Enterprise tiers
              require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
            - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
              included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
            - Error Handling: Returns structured error objects with 'error' key on failure.
              Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
            - Idempotency: Fully idempotent — calling with the same inputs always produces the
              same output. Safe to retry on timeout or transient failure.
            - Data Privacy: No input data is stored, logged, or transmitted to external services.
              All processing happens locally within the MCP server process.
        """
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description fully covers behavioral traits: it declares read-only, stateless, idempotent, and includes details on authentication, rate limits (10/day free, unlimited pro), error handling, and data privacy. This exceeds expectations for transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear section headers (Behavior, When to use, Behavioral Transparency). It is relatively lengthy but every sentence adds value. It is front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one simple parameter, no output schema, and no annotations, the description provides comprehensive information about purpose, usage, limitations, and transparency. It is thorough and leaves no major gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one required parameter 'description' with 0% coverage. The description mentions 'One-sentence AI system description' but does not add further details on format, length, or examples. The simplicity of the parameter partially mitigates the lack of elaboration, but more guidance would be helpful.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides 'EU AI Act risk classification and top obligations' from a one-sentence description. It is specific about the verb (classify, generate obligations) and resource (AI system). However, it does not explicitly differentiate from the sibling tool 'classify_ai_risk', which may have similar functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes explicit 'When to use' and 'When NOT to use' sections, stating it is for compliance assessment, audit, and gap analysis, and cautions against substituting for legal advice. It provides clear context but does not compare with other tools on the same server.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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