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CSOAI-ORG

DORA Compliance MCP

classify_incident

Assess ICT incidents against DORA thresholds to identify major incidents requiring 4h/72h/1-month reporting.

Instructions

Classify an ICT incident against DORA major-incident thresholds per Commission Delegated Regulation (EU) 2024/1772. Returns whether it qualifies as a 'major ICT incident' requiring 4h/72h/1-month reporting.

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.

Args: incident_description (str): The incident description to analyze or process. clients_affected (int): The clients affected to analyze or process. duration_hours (float): The duration hours to analyze or process. economic_impact_eur (float): The economic impact eur to analyze or process. data_loss (bool): The data loss to analyze or process. api_key (str): The api key to analyze or process.

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
incident_descriptionYes
clients_affectedNo
duration_hoursNo
economic_impact_eurNo
data_lossNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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: read-only, stateless, idempotent, rate limits (10/day free), no authentication for basic use, error handling, and data privacy. This is comprehensive and beyond what structured fields would convey.

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

Conciseness3/5

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

The description is well-organized with clear sections, but contains redundancy: the 'Behavior' and 'Behavioral Transparency' sections overlap significantly. The 'Args' list is verbose with repetitive phrasing. Shortening would improve conciseness without losing information.

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's complexity (6 parameters, 1 required), the description covers all necessary aspects: regulatory context, behavior, auth, rate limits, error handling, and output. The presence of an output schema reduces the need to describe return values, but the description still explains the key output (major incident qualification).

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

Parameters2/5

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

The 'Args' section repeats parameter names and adds generic phrases ('to analyze or process') that add no meaningful context beyond the schema titles. With 0% schema description coverage, the description fails to compensate by explaining valid values or DORA-specific meaning, e.g., what constitutes sufficient economic_impact_eur.

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?

The description clearly identifies the tool's purpose: classifying an ICT incident against DORA major-incident thresholds per EU regulation, and distinguishes it from sibling tools like classify_entity by focusing on incidents.

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

Usage Guidelines5/5

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

Explicit 'When to use' and 'When NOT to use' sections provide clear guidance: use for compliance assessment, not as legal advice. This effectively helps the agent decide when to invoke the tool.

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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