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awslabs

Threat Modeling MCP Server

Official
by awslabs

get_architecture_analysis_plan

Generate a comprehensive architecture analysis plan for security concerns, using AI-powered analysis with AWS documentation validation.

Instructions

Get a comprehensive architecture analysis plan.

This tool returns a detailed plan for analyzing system architecture for security concerns using AI-powered analysis with AWS documentation validation.

Args: ctx: MCP context for logging and error handling

Returns: A markdown-formatted architecture analysis plan with prompts for LLM analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool returns a markdown plan and uses AI/AWS validation, but it does not mention side effects, auth needs, rate limits, or what happens if called repeatedly. It also confusingly lists an 'Args: ctx' section while the schema has zero parameters, which could mislead about actual invocation. No contradiction with annotations exists, but transparency is thin.

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 moderately sized but contains redundancy: the first sentence 'Get a comprehensive architecture analysis plan' is repeated in essence by 'This tool returns a detailed plan...'. The Args/Returns structure is clear but the Args section is unnecessary given no schema parameters. The text could be tighter without losing meaning.

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

Completeness3/5

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

The description explains what the tool returns (a markdown plan with prompts for LLM analysis) and mentions the AI/AWS validation aspect, which is useful. But with an output schema present and no annotations, it still lacks guidance on the plan's contents, scope boundaries relative to sibling tools, and when to invoke it. It's adequate but not complete.

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?

There are zero parameters in the schema, which typically earns a baseline 4 since there is nothing to explain. However, the description includes an 'Args: ctx' mention that contradicts the empty input schema, adding unnecessary confusion about tool invocation. Because this is misleading, the score is reduced to 3.

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 returns a comprehensive architecture analysis plan for security concerns using AI-powered analysis with AWS documentation validation. The verb 'get' and resource 'architecture analysis plan' are specific, and the mention of 'system architecture' distinguishes it from sibling plan tools like get_business_context_analysis_plan and get_trust_boundary_analysis_plan. However, it doesn't explicitly name alternatives, so it stops short of a perfect score.

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?

The description provides no guidance on when to use this tool versus the many sibling plan tools. It does not state when to invoke it, what prerequisites exist, or what scenarios call for it. The only implied usage is 'get a plan', but there are no clear context triggers or exclusions.

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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