stability_text_to_image

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. However, it only states the basic function and omits critical details such as API key usage, rate limits, pricing, image size constraints, output format, or any side effects. This is a significant gap for a generative tool.

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 a single sentence, which is concise but structurally weak. It does not front-load the most critical information (e.g., required parameters, default behavior). While not overly verbose, the lack of structure limits its usefulness.

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?

Given the tool's complexity (11 parameters, no output schema, no annotations), the description is severely incomplete. It fails to explain what the output looks like, how to handle errors, or any usage patterns. The agent would struggle to invoke this tool correctly without additional context.

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?

Schema description coverage is low (36%), and the tool has 11 parameters. The description does not explain any parameter beyond what is in the schema, missing an opportunity to add value for key fields like 'api_key', 'prompt', or 'engine_id'. The schema does some work, but without description enrichment, the agent lacks guidance.

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 generates images from a text prompt using Stability AI. It uses a specific verb ('generate') and resource ('images'), and uniquely identifies the provider, distinguishing it from sibling tools like 'stability_image_to_image' or 'stability_upscale'.

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 (e.g., OpenAI's image generation). It does not mention prerequisites, context, or exclusions, leaving the agent without decision-making support.

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