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AiAgentKarl

Agent Policy Gateway MCP Server

check_compliance

Check if an action type like automated decision or recruitment complies with EU AI Act and GDPR. Specify action type and jurisdiction to get risk level, requirements, and prohibition status.

Instructions

Prüft ob ein Aktionstyp besondere Anforderungen unter EU AI Act oder DSGVO hat.

Kennt Risikokategorien: automated_decision, biometric_identification, credit_scoring, content_moderation, recruitment, data_processing, customer_profiling, chatbot_interaction.

Args: action_type: Art der Aktion (z.B. "automated_decision", "recruitment") jurisdiction: Rechtsraum — aktuell "EU" unterstützt

Returns: action_type: Abgefragter Aktionstyp jurisdiction: Geprüfter Rechtsraum risk_level: AI Act Risikostufe requirements: Liste der Anforderungen gdpr_articles: Relevante DSGVO-Artikel is_prohibited: Ob die Aktion verboten ist

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
action_typeYes
jurisdictionNoEU
Behavior4/5

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

With no annotations, description carries full burden. It discloses output fields, known risk categories, and that only EU jurisdiction is currently supported. No mention of side effects, but tool appears to be a read-only query.

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?

Well-structured with Args and Returns sections, front-loaded with purpose. A bit verbose with full risk category list, but each sentence adds value.

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

Completeness4/5

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

No output schema, so description compensates by listing all return fields. Parameter semantics are covered, and jurisdiction limitation is mentioned. Sufficient for a query tool.

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

Parameters4/5

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

Schema coverage is 0%, but description adds meaning: explains action_type as 'Art der Aktion' with examples, and notes jurisdiction defaults to 'EU' and is currently limited. Provides context beyond schema.

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

Purpose5/5

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

Description clearly states the tool checks if an action type has special requirements under EU AI Act or DSGVO, with specific verb 'prüft' and resource 'Aktionstyp'. It distinguishes from siblings like check_pii or apply_guardrails by focusing on compliance.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives like check_pii or apply_guardrails. Does not mention when not to use it or provide context for selection.

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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