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generate_threat_model

Generate a STRIDE threat model by defining system components, data types, and authentication methods. Use it for security assessment and risk evaluation.

Instructions

Generate a STRIDE-based threat model for a system.

Args: system_name: Name of the system being modeled. components: System components (e.g. web_app, api_server, database, cache). data_types: Types of data processed (e.g. pii, financial, health, credentials). external_interfaces: External integrations (e.g. payment_gateway, email_service). authentication_method: password | mfa | sso | api_key | oauth. deployment: cloud | on_premise | hybrid | serverless.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool for security assessment, threat detection, or vulnerability analysis. Suitable for automated security scanning and risk evaluation.

When NOT to use: Do not rely solely on this tool for production security decisions. Always combine with manual security review. 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
system_nameYes
componentsYes
data_typesYes
external_interfacesNo
authentication_methodNopassword
deploymentNocloud
api_keyNo
Behavior5/5

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

No annotations provided, so description carries full burden. It details side effects (read-only, no modifications), authentication (basic usage no auth, pro requires API key), rate limits (10/day free tier), error handling (structured error objects), idempotency, and data privacy. Very comprehensive.

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 labeled sections (Args, Behavior, When to use, When NOT to use, Behavioral Transparency) and is front-loaded with purpose. It contains multiple sections that add value, though could be slightly trimmed without losing substance.

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 exists, but the description mentions structured output without side effects, rate limit headers, and error objects. It covers authentication, rate limits, error handling, idempotency, and data privacy. Explicit output format details would increase completeness.

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

Parameters5/5

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

With 0% schema description coverage, the description adds meaning to each of the 7 parameters by listing them with explanations and examples (e.g., 'components: System components (e.g. web_app, api_server)'). It also mentions defaults for authentication_method and deployment, and notes required fields.

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 states the tool generates a STRIDE-based threat model for a system, specifying the type of output. It distinguishes from sibling tools like analyze_password_strength and lookup_cve, which focus on different security tasks.

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 security assessment, threat detection, vulnerability analysis; but not solely for production decisions, always combine with manual review.

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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