model_threats

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions cost ('$0.010 USDC') which is valuable, but doesn't cover other critical aspects like rate limits, authentication requirements, response format, or what 'generate' entails operationally. The description is insufficient for a tool that presumably creates analysis output.

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

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

The description is efficiently structured in a single sentence that states the core purpose, followed by cost and service information. Every element serves a purpose, though the cost/service details could potentially be moved to annotations for better separation of concerns.

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

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

For a tool with 4 parameters (one required), no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, how parameters interact, or provide enough behavioral context for safe and effective use, especially given the cost implication mentioned.

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

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

With 0% schema description coverage for all 4 parameters, the description provides no information about parameter meanings. It doesn't explain what 'architecture', 'system_type', 'tech_stack', or 'data_sensitivity' represent, leaving the agent to guess based on parameter names alone without semantic context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verb ('Generate') and resource ('STRIDE threat model for any system architecture'), and distinguishes it from all sibling tools which focus on different domains like verification, analysis, or data processing rather than threat modeling.

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

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 alternatives. While it mentions cost and service, it doesn't specify scenarios, prerequisites, or exclusions, leaving the agent without context for tool selection among the many sibling options.

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