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awslabs

Threat Modeling MCP Server

Official
by awslabs

export_threat_model_with_remediation_status

Export the threat model with remediation status to show which threats existing security controls already mitigate.

Instructions

Export the threat model with remediation status.

This tool exports the threat model with information about which threats are already remediated by existing security controls.

Args: ctx: MCP context for logging and error handling output_path: Path to save the exported threat model

Returns: A confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits such as side effects, file format, or required system state. It only states that it exports and returns a confirmation message, lacking details about overwrite behavior, output format, or any permission requirements. This is minimal and does not fully carry the burden.

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 well-structured: a one-sentence summary, an elaboration, then clear Args and Returns sections. No redundant content, and each sentence serves a purpose. The only minor issue is the ctx parameter, but overall layout is excellent.

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?

For a simple one-parameter export tool, the description covers purpose and parameter meaning. However, it omits important contextual details like the output file format, whether the file will be overwritten, or how this export differs from other similar tools. The existence of an output schema reduces the need to explain return values, but the description still feels incomplete for fully autonomous agent use.

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 schema only lists output_path with no description, so the description adds value by explaining 'Path to save the exported threat model'. However, it also mentions an undocumented 'ctx' parameter, which may confuse agents about what arguments are actually expected. Despite this, it compensates well for the schema's 0% coverage.

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 specific verb 'export' and the resource 'threat model with remediation status'. It further clarifies the unique scope: 'information about which threats are already remediated by existing security controls', which distinguishes it from sibling tools like export_comprehensive_threat_model.

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 vs alternatives. It doesn't mention any exclusions, prerequisites, or compare to other export tools. The usage context is only implied through the name and focus on remediation status, but there is no concrete direction for the agent.

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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