Skip to main content
Glama
awslabs

Threat Modeling MCP Server

Official
by awslabs

execute_final_export_step

Automates the final export phase of threat modeling, generating all required documentation and outputs as a markdown report. Simplify final reporting.

Instructions

Execute the complete final export step (Phase 9) automatically.

This tool automates the final export step, generating all required documentation and outputs from the threat modeling process.

Args: ctx: MCP context for logging and error handling

Returns: A markdown-formatted report of the export results

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 must disclose behavioral traits. It states the tool 'generates all required documentation and outputs' and returns a markdown report, but it does not mention side effects (e.g., whether it modifies state), idempotency, permissions, or failure modes. This is a significant gap for a tool that 'executes' a step.

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

Conciseness5/5

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

The description is concise and front-loaded: two sentences plus a small Args/Returns block. Every sentence carries meaning, and there is no redundancy or fluff. It efficiently conveys the core action and return format.

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 includes the purpose, the single context input, and the return format, which is reasonable for a zero-parameter tool. However, it lacks usage context (e.g., prerequisites, side effects, or relation to other tools). Given the absence of annotations and the presence of an output schema, the description is minimally viable but not rich enough to fully inform an agent about when and how to safely invoke the 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?

The input schema has zero properties, and the description mentions an 'Args: ctx' that is not in the schema, likely an auto-injected context parameter. Since there are no user-facing parameters to explain, the description's brief mention of 'ctx' for logging is sufficient. The baseline for 0 params is 4, and no additional parameter semantics are needed.

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's action: 'Execute the complete final export step (Phase 9) automatically.' It identifies the resource (the final export) and the action (execute/generate). However, it does not explicitly differentiate from sibling export tools like 'export_comprehensive_threat_model' or 'export_threat_model_with_remediation_status', relying on 'Phase 9' for context.

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 explicit guidance on when to use this tool versus alternatives. It does not mention preconditions (e.g., completing earlier phases) or exclusions. The 'Phase 9' reference implies a specific point in a workflow, but without naming alternatives or conditions, the agent is left guessing.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/awslabs/threat-modeling-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server