generate_scenario_from_prompt

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

Discloses use of keyword matching/heuristics and components built, but lacks details on limitations, side effects, or error handling; no annotations to compensate.

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?

Concise with front-loaded purpose and helpful examples; structured Parameters/Returns section adds clarity but slightly lengthens the description.

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?

Covers purpose, mechanism, examples, and return format. Lacks mention of persistence or linkage to other tools, but sufficient for a 1-parameter tool with output schema.

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?

The parameter 'prompt' is described in the Parameters section, adding meaning beyond the bare schema (which had 0% coverage).

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?

Clearly states it generates an AFSIM scenario from natural language, distinguishing it from siblings like create_scenario or refine_scenario_from_prompt.

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?

Examples imply use for quick scenario creation, but no explicit when-to-use or when-not-to-use guidelines, nor direct comparison with alternatives.

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